Holdings: Artificial neural network modelling

Artificial neural network modelling:

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Bibliographic Details
Other Authors:	Shanmuganathan, Subana (Editor), Samarasinghe, Sandhya (Editor)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer International Publishing [2016]
Series:	Studies in computational intelligence volume 628
Subjects:	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis
Physical Description:	1 Online Ressource (vii, 472 p. 187 illus., 63 illus. in color)
ISBN:	9783319284958
DOI:	10.1007/978-3-319-28495-8

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Record in the Search Index

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adam_text	ARTIFICIAL NEURAL NETWORK MODELLING / : 2016 ABSTRACT / INHALTSTEXT THIS BOOK COVERS THEORETICAL ASPECTS AS WELL AS RECENT INNOVATIVE APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS (ANNS) IN NATURAL, ENVIRONMENTAL, BIOLOGICAL, SOCIAL, INDUSTRIAL AND AUTOMATED SYSTEMS. IT PRESENTS RECENT RESULTS OF ANNS IN MODELLING SMALL, LARGE AND COMPLEX SYSTEMS UNDER THREE CATEGORIES, NAMELY, 1) NETWORKS, STRUCTURE OPTIMISATION, ROBUSTNESS AND STOCHASTICITY 2) ADVANCES IN MODELLING BIOLOGICAL AND ENVIRONMENTAL SYSTEMS AND 3) ADVANCES IN MODELLING SOCIAL AND ECONOMIC SYSTEMS. THE BOOK AIMS AT SERVING UNDERGRADUATES, POSTGRADUATES AND RESEARCHERS IN ANN COMPUTATIONAL MODELLING. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. ARTIFICIAL NEURAL NETWORK MODELLING / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS ARTIFICIAL NEURAL NETWORKS APPLICATIONS: AN INTRODUCTION ORDER IN THE BLACK BOX: CONSISTENCY AND ROBUSTNESS OF NEURON ACTIVATION OF FEED FORWARD NEURAL NETWORKS AND ITS USE IN EFFICIENT OPTIMIZATION OF NETWORK STRUCTURE ARTIFICIAL NEURAL NETWORKS AS MODELS OF ROBUSTNESS IN DEVELOPMENT AND REGENERATION: STABILITY OF MEMORY DURING MORPHOLOGICAL REMODELING A STRUCTURE OPTIMIZATION ALGORITHM OF NEURAL NETWORKS FOR PATTERN LEARNING FROM EDUCATIONAL DATA STOCHASTIC NEURAL NETWORKS FOR MODELLING RANDOM PROCESSES FROM OBSERVED DATA CURVELET INTERACTION WITH ARTIFICIAL NEURAL NETWORKS HYBRID WAVELET NEURAL NETWORK APPROACHES.-QUANTIFICATION OF PREDICTION UNCERTAINTY IN ARTIFICIAL NEURAL NETWORK MODELS CLASSIFYING CALPAIN INHIBITORS FOR THE TREATMENT OF CATARACTS: A SELF ORGANISING MAP (SOM) ANN/KM APPROACH IN DRUG DISCOVERY IMPROVED ULTRASOUND BASED COMPUTER AIDED DIAGNOSIS SYSTEM FOR BREAST CANCER USING NEURAL NETWORKS INCORPORATING A NOVEL EFFECTIVE FEATURE - DEGREE OF CENTRAL REGULARITY OF MASS.-SOM CLUSTERING AND MODELLING OF AUSTRALIAN RAILWAY DRIVERS’ SLEEP, WAKE, DUTY PROFILES A NEURAL APPROACH TO ELECTRICITY DEMAND FORECASTING DEVELOPMENT OF ARTIFICIAL INTELLIGENCE BASED REGIONAL FLOOD ESTIMATION TECHNIQUES FOR EASTERN AUSTRALIA ARTIFICIAL NEURAL NETWORKS IN PRECIPITATION NOWCASTING: AN AUSTRALIAN CASE STUDY CONSTRUCTION OF PMX CONCENTRATION SURFACES USING NEURAL EVOLUTIONARY FUZZY MODELS OF SEMI PHYSICAL CLASS APPLICATION OF ARTIFICIAL NEURAL NETWORK IN SOCIAL MEDIA DATA ANALYSIS: A CASE OF LODGING BUSINESS IN PHILADELPHIA SENTIMENT ANALYSIS ON MORPHOLOGICALLY RICH LANGUAGES – AN ARTIFICIAL NEURAL NETWORK (ANN) APPROACH PREDICTING STOCK PRICE MOVEMENTS WITH NEWS SENTIMENT: AN ARTIFICIAL NEURAL NETWORKS APPROACH MODELLING MODE CHOICE OF INDIVIDUAL IN LINKED TRIPS WITH ARTIFICIAL NEURAL NETWORKS AND FUZZY REPRESENTATION ARTIFICIAL NEURAL NETWORK (ANN) PRICING MODEL FOR NATURAL RUBBER PRODUCTS BASED ON CLIMATE DEPENDENCIES A HYBRID ARTIFICIAL NEURAL NETWORK (ANN) APPROACH TO SPATIAL AND NON-SPATIAL ATTRIBUTE DATA MINING: A CASE STUDY EXPERIENCE DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series	Studies in computational intelligence
series2	Studies in computational intelligence
spellingShingle	Artificial neural network modelling Studies in computational intelligence Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
title	Artificial neural network modelling
title_auth	Artificial neural network modelling
title_exact_search	Artificial neural network modelling
title_full	Artificial neural network modelling Subana Shanmuganathan, Sandhya Samarasinghe editors
title_fullStr	Artificial neural network modelling Subana Shanmuganathan, Sandhya Samarasinghe editors
title_full_unstemmed	Artificial neural network modelling Subana Shanmuganathan, Sandhya Samarasinghe editors
title_short	Artificial neural network modelling
title_sort	artificial neural network modelling
topic	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-28495-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840933&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=028840933&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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work_keys_str_mv	AT shanmuganathansubana artificialneuralnetworkmodelling AT samarasinghesandhya artificialneuralnetworkmodelling

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