Holdings: Hierarchical modular granular neural networks with fuzzy aggregation

Hierarchical modular granular neural networks with fuzzy aggregation:

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Main Author:	Sánchez, Daniela (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer International Publishing [2016]
Series:	SpringerBriefs in applied sciences and technology
Subjects:	Engineering Artificial intelligence Neural networks (Computer science) Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Models of Cognitive Processes and Neural Networks 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 (VIII, 101 Seiten)
ISBN:	9783319288628
DOI:	10.1007/978-3-319-28862-8

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adam_text	HIERARCHICAL MODULAR GRANULAR NEURAL NETWORKS WITH FUZZY AGGREGATION / SANCHEZ, DANIELA : 2016 ABSTRACT / INHALTSTEXT IN THIS BOOK, A NEW METHOD FOR HYBRID INTELLIGENT SYSTEMS IS PROPOSED. THE PROPOSED METHOD IS BASED ON A GRANULAR COMPUTING APPROACH APPLIED IN TWO LEVELS. THE TECHNIQUES USED AND COMBINED IN THE PROPOSED METHOD ARE MODULAR NEURAL NETWORKS (MNNS) WITH A GRANULAR COMPUTING (GRC) APPROACH, THUS RESULTING IN A NEW CONCEPT OF MNNS; MODULAR GRANULAR NEURAL NETWORKS (MGNNS). IN ADDITION FUZZY LOGIC (FL) AND HIERARCHICAL GENETIC ALGORITHMS (HGAS) ARE TECHNIQUES USED IN THIS RESEARCH WORK TO IMPROVE RESULTS. THESE TECHNIQUES ARE CHOSEN BECAUSE IN OTHER WORKS HAVE DEMONSTRATED TO BE A GOOD OPTION, AND IN THE CASE OF MNNS AND HGAS, THESE TECHNIQUES ALLOW TO IMPROVE THE RESULTS OBTAINED THAN WITH THEIR CONVENTIONAL VERSIONS; RESPECTIVELY ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. HIERARCHICAL MODULAR GRANULAR NEURAL NETWORKS WITH FUZZY AGGREGATION / SANCHEZ, DANIELA : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION BACKGROUND AND THEORY PROPOSED METHOD APPLICATION TO HUMAN RECOGNITION EXPERIMENTAL RESULTS CONCLUSIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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illustrated	Not Illustrated
indexdate	2025-02-20T06:52:53Z
institution	BVB
isbn	9783319288628
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028840663
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owner	DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-92 DE-862 DE-BY-FWS DE-861 DE-706
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physical	1 Online Ressource (VIII, 101 Seiten)
psigel	ZDB-2-ENG ZDB-2-ENG_2016
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer International Publishing
record_format	marc
series2	SpringerBriefs in applied sciences and technology
spellingShingle	Sánchez, Daniela Hierarchical modular granular neural networks with fuzzy aggregation Engineering Artificial intelligence Neural networks (Computer science) Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Models of Cognitive Processes and Neural Networks Ingenieurwissenschaften Künstliche Intelligenz
title	Hierarchical modular granular neural networks with fuzzy aggregation
title_auth	Hierarchical modular granular neural networks with fuzzy aggregation
title_exact_search	Hierarchical modular granular neural networks with fuzzy aggregation
title_full	Hierarchical modular granular neural networks with fuzzy aggregation Daniela Sanchez, Patricia Melin
title_fullStr	Hierarchical modular granular neural networks with fuzzy aggregation Daniela Sanchez, Patricia Melin
title_full_unstemmed	Hierarchical modular granular neural networks with fuzzy aggregation Daniela Sanchez, Patricia Melin
title_short	Hierarchical modular granular neural networks with fuzzy aggregation
title_sort	hierarchical modular granular neural networks with fuzzy aggregation
topic	Engineering Artificial intelligence Neural networks (Computer science) Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Models of Cognitive Processes and Neural Networks Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Neural networks (Computer science) Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Models of Cognitive Processes and Neural Networks Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-28862-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840663&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=028840663&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT sanchezdaniela hierarchicalmodulargranularneuralnetworkswithfuzzyaggregation AT melinpatricia hierarchicalmodulargranularneuralnetworkswithfuzzyaggregation

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