Recent advances on hybrid intelligent systems:
<p>This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, i...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
| Schriftenreihe: | Studies in computational intelligence
451 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Zusammenfassung: | <p>This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.</p><p> </p> |
| Beschreibung: | <b>Part I Hybrid Intelligent Systems for Control and Robotics -- Part II Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction -- <p><b>Part III Bio-Inspired and Genetic Optimization Methods</b></p>.-Part IV Intelligent Optimization and Applications.-<p><b>Part V Evolutionary Methods and Intelligent Computing</b></p>.</b> |
| Beschreibung: | 1 Online-Ressource (XII, 570 p. 278 illus) |
| ISBN: | 9783642330216 |
| DOI: | 10.1007/978-3-642-33021-6 |
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| 520 | |a <p>This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.</p><p> </p> | ||
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Datensatz im Suchindex
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| adam_text | RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I HYBRID INTELLIGENT SYSTEMS FOR CONTROL AND ROBOTICS
PART II HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION AND TIME
SERIES PREDICTION
PART III BIO-INSPIRED AND GENETIC OPTIMIZATION METHODS .-PART IV
INTELLIGENT OPTIMIZATION AND APPLICATIONS
PART V EVOLUTIONARY METHODS AND INTELLIGENT COMPUTING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS
/
: 2013
ABSTRACT / INHALTSTEXT
THIS BOOK PRESENTS RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS USING
SOFT COMPUTING TECHNIQUES FOR INTELLIGENT CONTROL AND ROBOTICS, PATTERN
RECOGNITION, TIME SERIES PREDICTION AND OPTIMIZATION OF COMPLEX
PROBLEMS. SOFT COMPUTING (SC) CONSISTS OF SEVERAL INTELLIGENT COMPUTING
PARADIGMS, INCLUDING FUZZY LOGIC, NEURAL NETWORKS, AND BIO-INSPIRED
OPTIMIZATION ALGORITHMS, WHICH CAN BE USED TO PRODUCE POWERFUL HYBRID
INTELLIGENT SYSTEMS. THE BOOK IS ORGANIZED IN FIVE MAIN PARTS, WHICH
CONTAIN GROUPS OF PAPERS AROUND A SIMILAR SUBJECT. THE FIRST PART
CONSISTS OF PAPERS WITH THE MAIN THEME OF HYBRID INTELLIGENT SYSTEMS FOR
CONTROL AND ROBOTICS, WHICH ARE BASICALLY STATE OF THE ART PAPERS THAT
PROPOSE NEW MODELS AND CONCEPTS, WHICH CAN BE THE BASIS FOR ACHIEVING
INTELLIGENT CONTROL AND MOBILE ROBOTICS. THE SECOND PART CONTAINS PAPERS
WITH THE MAIN THEME OF HYBRID INTELLIGENT SYSTEMS FOR PATTERN
RECOGNITION AND TIME SERIES PREDICTION, WHICH ARE BASICALLY PAPERS USING
NATURE-INSPIRED TECHNIQUES, LIKE EVOLUTIONARY ALGORITHMS, FUZZY LOGIC
AND NEURAL NETWORKS, FOR ACHIEVING EFFICIENT PATTERN RECOGNITION OR TIME
SERIES PREDICTION. THE THIRD PART CONTAINS PAPERS WITH THE THEME OF
BIO-INSPIRED AND GENETIC OPTIMIZATION METHODS, WHICH BASICALLY CONSIDER
THE PROPOSAL OF NEW METHODS AND APPLICATIONS OF BIO-INSPIRED
OPTIMIZATION TO SOLVE COMPLEX OPTIMIZATION OF REAL PROBLEMS. THE FOURTH
PART CONTAINS PAPERS THAT DEAL WITH THE APPLICATION OF INTELLIGENT
OPTIMIZATION TECHNIQUES IN REAL WORLD PROBLEMS IN SCHEDULING, PLANNING
AND MANUFACTURING. THE FIFTH PART CONTAINS PAPERS WITH THE THEME OF
EVOLUTIONARY METHODS AND INTELLIGENT COMPUTING, WHICH ARE PAPERS
CONSIDERING SOFT COMPUTING METHODS FOR APPLICATIONS RELATED TO DIVERSE
AREAS, SUCH AS NATURAL LANGUAGE PROCESSING, RECOMMENDING SYSTEMS AND
OPTIMIZATION.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| owner | DE-898 DE-BY-UBR DE-Aug4 DE-634 DE-573 DE-92 DE-859 DE-706 DE-863 DE-BY-FWS |
| owner_facet | DE-898 DE-BY-UBR DE-Aug4 DE-634 DE-573 DE-92 DE-859 DE-706 DE-863 DE-BY-FWS |
| physical | 1 Online-Ressource (XII, 570 p. 278 illus) |
| psigel | ZDB-2-ENG |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Recent advances on hybrid intelligent systems Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Soft Computing (DE-588)4455833-8 gnd Anwendung (DE-588)4196864-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4455833-8 (DE-588)4196864-5 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | Recent advances on hybrid intelligent systems |
| title_auth | Recent advances on hybrid intelligent systems |
| title_exact_search | Recent advances on hybrid intelligent systems |
| title_full | Recent advances on hybrid intelligent systems Oscar Castillo ... (eds.) |
| title_fullStr | Recent advances on hybrid intelligent systems Oscar Castillo ... (eds.) |
| title_full_unstemmed | Recent advances on hybrid intelligent systems Oscar Castillo ... (eds.) |
| title_short | Recent advances on hybrid intelligent systems |
| title_sort | recent advances on hybrid intelligent systems |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Soft Computing (DE-588)4455833-8 gnd Anwendung (DE-588)4196864-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Soft Computing Anwendung Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-642-33021-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025911933&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025911933&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT castillooscar recentadvancesonhybridintelligentsystems |