Advances in time series forecasting.: Volume 2 /
This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Sharjah, UAE :
Bentham Science Publishers,
[2017]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781681085289 1681085283 |
Internformat
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on January 03, 2019). | |
| 505 | 0 | |a Intro -- CONTENTS -- PREFACE -- Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure -- Cagdas Hakan Aladag1,* and I. Burhan Turksen2 -- INTRODUCTION -- THE PROPOSED DISTANCE MEASURE AND THE SUGGESTED PERFORMANCE CRITERION -- THE APPLICATION -- CONCLUDING REMARKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Fuzzy Time Series Forecasting Model with Neural Network Structure -- Eren Bas* and Erol Egrioglu -- INTRODUCTION -- PROPOSED METHOD -- APPLICATION -- CONCLUSIONS AND DISCUSSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm -- M.H. Fazel Zarandi1, *, M. Yalinezhaad1 and I.B. Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1. | |
| 505 | 8 | |a INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS. | |
| 505 | 8 | |a APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX. | |
| 520 | |a This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications. | ||
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| 700 | 1 | |a Aladag, Cagdas Hakan, |e editor. | |
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| contents | Intro -- CONTENTS -- PREFACE -- Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure -- Cagdas Hakan Aladag1,* and I. Burhan Turksen2 -- INTRODUCTION -- THE PROPOSED DISTANCE MEASURE AND THE SUGGESTED PERFORMANCE CRITERION -- THE APPLICATION -- CONCLUDING REMARKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Fuzzy Time Series Forecasting Model with Neural Network Structure -- Eren Bas* and Erol Egrioglu -- INTRODUCTION -- PROPOSED METHOD -- APPLICATION -- CONCLUSIONS AND DISCUSSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm -- M.H. Fazel Zarandi1, *, M. Yalinezhaad1 and I.B. Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1. INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS. APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX. |
| ctrlnum | (OCoLC)1015873425 |
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Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. 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| id | ZDB-4-EBA-on1015873425 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:28:09Z |
| institution | BVB |
| isbn | 9781681085289 1681085283 |
| language | English |
| oclc_num | 1015873425 |
| open_access_boolean | |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Bentham Science Publishers, |
| record_format | marc |
| spelling | Advances in time series forecasting. Volume 2 / edited by Cagdas Hakan Aladag. Sharjah, UAE : Bentham Science Publishers, [2017] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Online resource; title from digital title page (viewed on January 03, 2019). Intro -- CONTENTS -- PREFACE -- Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure -- Cagdas Hakan Aladag1,* and I. Burhan Turksen2 -- INTRODUCTION -- THE PROPOSED DISTANCE MEASURE AND THE SUGGESTED PERFORMANCE CRITERION -- THE APPLICATION -- CONCLUDING REMARKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Fuzzy Time Series Forecasting Model with Neural Network Structure -- Eren Bas* and Erol Egrioglu -- INTRODUCTION -- PROPOSED METHOD -- APPLICATION -- CONCLUSIONS AND DISCUSSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm -- M.H. Fazel Zarandi1, *, M. Yalinezhaad1 and I.B. Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1. INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS. APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX. This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications. Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Série chronologique. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Time-series analysis fast Aladag, Cagdas Hakan, editor. has work: Volume 2 Advances in time series forecasting (Text) https://id.oclc.org/worldcat/entity/E39PCGkvdKbR4mKCKcd6fGR8vd https://id.oclc.org/worldcat/ontology/hasWork Print version: Aladag, Cagdas Hakan. Advances in Time Series Forecasting: Volume 2. Sharjah : Bentham Science Publishers, ©2017 9781681085296 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1663730 Volltext |
| spellingShingle | Advances in time series forecasting. Intro -- CONTENTS -- PREFACE -- Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure -- Cagdas Hakan Aladag1,* and I. Burhan Turksen2 -- INTRODUCTION -- THE PROPOSED DISTANCE MEASURE AND THE SUGGESTED PERFORMANCE CRITERION -- THE APPLICATION -- CONCLUDING REMARKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Fuzzy Time Series Forecasting Model with Neural Network Structure -- Eren Bas* and Erol Egrioglu -- INTRODUCTION -- PROPOSED METHOD -- APPLICATION -- CONCLUSIONS AND DISCUSSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm -- M.H. Fazel Zarandi1, *, M. Yalinezhaad1 and I.B. Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1. INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS. APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX. Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Série chronologique. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Time-series analysis fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85135430 |
| title | Advances in time series forecasting. |
| title_auth | Advances in time series forecasting. |
| title_exact_search | Advances in time series forecasting. |
| title_full | Advances in time series forecasting. Volume 2 / edited by Cagdas Hakan Aladag. |
| title_fullStr | Advances in time series forecasting. Volume 2 / edited by Cagdas Hakan Aladag. |
| title_full_unstemmed | Advances in time series forecasting. Volume 2 / edited by Cagdas Hakan Aladag. |
| title_short | Advances in time series forecasting. |
| title_sort | advances in time series forecasting |
| topic | Time-series analysis. http://id.loc.gov/authorities/subjects/sh85135430 Série chronologique. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Time-series analysis fast |
| topic_facet | Time-series analysis. Série chronologique. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Time-series analysis |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1663730 |
| work_keys_str_mv | AT aladagcagdashakan advancesintimeseriesforecastingvolume2 |