Computational intelligence systems and applications: neuro-fuzzy and fuzzy neural synergism ; with 21 tables
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg [u.a.]
Physica-Verl.
2002
|
| Schriftenreihe: | Studies in fuzziness and soft computing
86 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 364 S. graph. Darst. |
| ISBN: | 3790814393 |
Internformat
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Datensatz im Suchindex
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| adam_text | MARIAN B. GORZATCZANY COMPUTATIONAL INTELLIGENCE SYSTEMS AND
APPLICATIONS NEURO-FUZZY AND FUZZY NEURAL SYNERGISMS WITH 147 FIGURES
AND 21 TABLES PHYSICA-VERLAG A SPRINGER-VERLAG COMPANY CONTENTS PREFACE
V 1 INTRODUCTION 1 1.1 A GENERAL CONCEPT OF COMPUTATIONAL INTELLIGENCE 1
1.2 THE BUILDING BLOCKS OF COMPUTATIONAL INTELLIGENCE SYSTEMS 4 1.3
OBJECTIVES AND SCOPE OF THIS BOOK 13 2 ELEMENTS OF THE THEORY OF FUZZY
SETS 17 2.1 BASIC NOTIONS, OPERATIONS ON FUZZY SETS, AND FUZZY RELATIONS
17 2.2 FUZZY INFERENCE SYSTEMS 35 3 ESSENTIALS OF ARTIFICIAL NEURAL
NETWORKS 53 3.1 PROCESSING ELEMENTS AND MULTILAYER PERCEPTRONS 54 3.2
RADIAL BASIS FUNCTION NETWORKS 74 4 BRIEF INTRODUCTION TO GENETIC
ALGORITHMS 85 4.1 BASIC COMPONENTS OF GENETIC ALGORITHMS 86 4.2
THEORETICAL INTRODUCTION TO GENETIC COMPUTING 97 5 MAIN DIRECTIONS OF
COMBINING ARTIFICIAL NEURAL NETWORKS, FUZZY SETS AND EVOLUTIONARY
COMPUTATIONS IN DESIGNING COMPUTATIONAL INTELLIGENCE SYSTEMS 103 5.1
ARTIFICIAL INTELLIGENCE VERSUS COMPUTATIONAL INTELLIGENCE 103 5.2
DESIGNING COMPUTATIONAL INTELLIGENCE SYSTEMS 108 5.3 SELECTED
NEURO-FUZZY SYSTEMS 115 5.3.1 ANFIS SYSTEM 115 . 5.3.2 NEFCLASS SYSTEM
118 5.3.3 NEFPROX SYSTEM 121 5.3.4 NEURO-FUZZY SYSTEM OF [242] 123 6
NEURO-FUZZY(-GENETIC) SYSTEM FOR SYNTHESIZING RULE-BASED KNOWLEDGE FROM
DATA 127 6.1 SYNTHESIZING RULE-BASED KNOWLEDGE FROM DATA - STATEMENT OF
THE PROBLEM 129 6.2 NEURO-FUZZY SYSTEM IN LEARNING MODE - PROBLEM OF
KNOWLEDGE ACQUISITION 132 6.2.1 CONCEPTUAL SCHEME OF THE SYSTEM 132
6.2.2 IMPLEMENTATION OF THE SYSTEM 137 VIII CONTENTS 6.3 NEURO-FUZZY
SYSTEM IN INFERENCE MODE - APPROXIMATE INFERENCE ENGINE 145 6.3.1
CONCEPT OF THE SYSTEM 145 6.3.2 IMPLEMENTATION OF THE SYSTEM 146 6.3.3
TESTING AND PRUNING THE SYSTEM 154 6.4 LEARNING TECHNIQUES 157 6.4.1
BACKPROPAGATION-LIKE METHOD 158 6.4.2 OPTIMIZATION TECHNIQUES 164
6.4.2.1 CONJUGATE-GRADIENT ALGORITHM 165 6.4.2.2 VARIABLE-METRIC
ALGORITHM 167 6.4.3 GENETIC ALGORITHMS 169 6.5 A NUMERICAL EXAMPLE OF
SYNTHESIZING RULE-BASED KNOWLEDGE FROM DATA - MODELLING THE MACKEY-GLASS
CHAOTIC TIME SERIES... 170 6.5.1 DESIGNING THE NEURO-FUZZY MODEL FROM
DATA 171 6.5.2 A COMPARATIVE ANALYSIS WITH SEVERAL ALTERNATIVE MODELLING
TECHNIQUES 176 6.6 SYNTHESIZING RULE-BASED KNOWLEDGE FROM FISH DATA
180 6.6.1 DESIGNING THE NEURO-FUZZY-GENETIC SYSTEM FROM DATA 181 6.6.2 A
COMPARISON WITH OTHER METHODOLOGIES 184 7 RULE-BASED NEURO-FUZZY
MODELLING OF DYNAMIC SYSTEMS AND DESIGNING OF CONTROLLERS 191 7.1 SYSTEM
IDENTIFICATION - STATEMENT OF THE PROBLEM AND ITS GENERAL SOLUTION IN
THE FRAMEWORK OF NEURO-FUZZY METHODOLOGY 193 7.2 RULE-BASED NEURO-FUZZY
MODELLING OF AN INDUSTRIAL GAS FURNACE SYSTEM 200 7.2.1 DESIGNING THE
NEURO-FUZZY MODEL OF DYNAMIC SYSTEM FROM DATA 200 7.2.2 A COMPARATIVE
ANALYSIS WITH SEVERAL ALTERNATIVE METHODOLOGIES 211 7.3 DESIGNING THE
NEURO-FUZZY CONTROLLER FOR A SIMULATED BACKING UP OF A TRUCK 219 7.3.1
DESIGNING THE CONTROLLER FROM DATA 219 7.3.2 A COMPARISON OF DIFFERENT
NEURO-FUZZY CONTROLLERS 224 8 NEURO-FUZZY(-GENETIC) RULE-BASED
CLASSIFIER DESIGNED FROM DATA FOR INTELLIGENT DECISION SUPPORT 231 8.1
DESIGNING THE CLASSIFIER FROM DATA - STATEMENT OF THE PROBLEM .235 8.2
LEARNING MODE OF NEURO-FUZZY CLASSIFIER 237 8.2.1 CONCEPTUAL SCHEME OF
THE CLASSIFIER 237 8.2.2 IMPLEMENTATION OF THE CLASSIFIER 240 8.3
INFERENCE (DECISION MAKING) MODE OF NEURO-FUZZY CLASSIFIER ....247
CONTENTS I* 8.3.1 CONCEPT OF THE SYSTEM AND ITS IMPLEMENTATION 248 8.3.2
TESTING AND PRUNING THE SYSTEM 253 8.4 NEURO-FUZZY DECISION SUPPORT
SYSTEM FOR DIAGNOSING BREAST CANCER 256 8.4.1 DESIGNING THE SYSTEM FROM
DATA 257 8.4.2 A COMPARATIVE ANALYSIS OF SEVERAL DIFFERENT METHODOLOGIES
APPLIED TO DIAGNOSING BREAST CANCER 262 8.5 NEURO-FUZZY-GENETIC DECISION
SUPPORT SYSTEM FOR THE GLASS IDENTIFICATION PROBLEM (FORENSIC SCIENCE)
267 8.5.1 DESIGNING THE SYSTEM FROM DATA 268 8.5.2 A COMPARATIVE
ANALYSIS WITH OTHER TECHNIQUES FOR DECISION SUPPORT SYSTEMS DESIGN 276
8.6 NEURO-FUZZY-GENETIC DECISION SUPPORT SYSTEM FOR DETERMINING THE AGE
OF ABALONE (MARINE BIOLOGY) 278 8.6.1 DESIGNING THE SYSTEM FROM DATA 279
8.6.2 A COMPARATIVE ANALYSIS WITH ALTERNATIVE APPROACHES 286 9 FUZZY
NEURAL NETWORK FOR SYSTEM MODELLING AND CONTROL 289 9.1 LEARNING MODE OF
THE NETWORK 290 9.2 INFERENCE MODE OF THE NETWORK 295 9.3 FUZZY NEURAL
MODELLING OF DYNAMIC SYSTEMS (AN INDUSTRIAL GAS FURNACE SYSTEM) 300 9.4
FUZZY NEURAL CONTROLLER 306 9.4.1 STRUCTURE, LEARNING AND OPERATION OF
THE CONTROLLER 306 9.4.2 A NUMERICAL EXAMPLE OF FUZZY NEURAL CONTROL 312
10 FUZZY NEURAL CLASSIFIER 315 10.1 LEARNING AND INFERENCE MODES OF THE
CLASSIFIER 315 10.2 FUZZY NEURAL CLASSIFIER FOR DIAGNOSIS OF SURGICAL
CASES IN THE DOMAIN OF EQUINE COLIC 322 A APPENDICES 331 A.I INPUTS AND
OUTPUT OF THE SYSTEM OF CHAPTER 6.6 (FISH DATABASE) 331 A. 1.1 INPUTS
331 A. 1.2 OUTPUT 332 A.2 INPUTS AND OUTPUTS OF THE SYSTEM OF CHAPTER
8.4 (WISCONSIN BREAST CANCER DATABASE) 332 A.2.1 INPUTS 332 A.2.2
OUTPUTS - SET OF TWO CLASS LABELS 332 A.3 INPUTS AND OUTPUTS OF THE
SYSTEM OF CHAPTER 8.5 (GLASS IDENTIFICATION DATABASE) 332 A.3.1 INPUTS
332 A.3.2 OUTPUTS - SET OF TWO CLASS LABELS 333 CONTENTS A.4 INPUTS AND
OUTPUTS OF THE SYSTEM OF CHAPTER 8.6 (ABALONE DATABASE) 333 A.4.1 INPUTS
333 A.4.2 OUTPUTS - SET OF THREE CLASS LABELS 333 A. 5 INPUTS AND
OUTPUTS OF THE SYSTEM OF CHAPTER 10.2 (EQUINE COLIC DATABASE) 334 A.5.1
INPUTS 334 A.5.2 OUTPUTS - THREE SETS OF CLASS LABELS 334 REFERENCES 337
INDEX 359
|
| any_adam_object | 1 |
| author | Gorzałczany, Marian B. 1955- |
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| author_facet | Gorzałczany, Marian B. 1955- |
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| dewey-full | 003.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.7 |
| dewey-search | 003.7 |
| dewey-sort | 13.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T20:08:35Z |
| institution | BVB |
| isbn | 3790814393 |
| language | English |
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| physical | XI, 364 S. graph. Darst. |
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| series | Studies in fuzziness and soft computing |
| series2 | Studies in fuzziness and soft computing |
| spelling | Gorzałczany, Marian B. 1955- Verfasser (DE-588)123294231 aut Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables Marian B. Gorzalczany Heidelberg [u.a.] Physica-Verl. 2002 XI, 364 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in fuzziness and soft computing 86 Neuro-Fuzzy-System Soft Computing Wissensextraktion Neuro-Fuzzy-System (DE-588)4560677-8 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Soft Computing (DE-588)4455833-8 s DE-604 Wissensextraktion (DE-588)4546354-2 s Neuro-Fuzzy-System (DE-588)4560677-8 s Studies in fuzziness and soft computing 86 (DE-604)BV021858135 86 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013217999&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gorzałczany, Marian B. 1955- Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables Studies in fuzziness and soft computing Neuro-Fuzzy-System Soft Computing Wissensextraktion Neuro-Fuzzy-System (DE-588)4560677-8 gnd Soft Computing (DE-588)4455833-8 gnd Wissensextraktion (DE-588)4546354-2 gnd |
| subject_GND | (DE-588)4560677-8 (DE-588)4455833-8 (DE-588)4546354-2 |
| title | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables |
| title_auth | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables |
| title_exact_search | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables |
| title_full | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables Marian B. Gorzalczany |
| title_fullStr | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables Marian B. Gorzalczany |
| title_full_unstemmed | Computational intelligence systems and applications neuro-fuzzy and fuzzy neural synergism ; with 21 tables Marian B. Gorzalczany |
| title_short | Computational intelligence systems and applications |
| title_sort | computational intelligence systems and applications neuro fuzzy and fuzzy neural synergism with 21 tables |
| title_sub | neuro-fuzzy and fuzzy neural synergism ; with 21 tables |
| topic | Neuro-Fuzzy-System Soft Computing Wissensextraktion Neuro-Fuzzy-System (DE-588)4560677-8 gnd Soft Computing (DE-588)4455833-8 gnd Wissensextraktion (DE-588)4546354-2 gnd |
| topic_facet | Neuro-Fuzzy-System Soft Computing Wissensextraktion |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013217999&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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