Computational intelligence: synergies of fuzzy logic, neural networks and evolutionary computings
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester
Wiley
2013
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 512 S. graf. Darst. |
| ISBN: | 9781118337844 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV040987964 | ||
| 003 | DE-604 | ||
| 005 | 20130801 | ||
| 007 | t | ||
| 008 | 130508s2013 |||| |||| 00||| eng d | ||
| 010 | |a 2012047736 | ||
| 020 | |a 9781118337844 |c hbk |9 978-1-118-33784-4 | ||
| 035 | |a (OCoLC)846892168 | ||
| 035 | |a (DE-599)BSZ377546682 | ||
| 040 | |a DE-604 |b ger | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-473 |a DE-91 | ||
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| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
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| 100 | 1 | |a Siddique, N. H. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Computational intelligence |b synergies of fuzzy logic, neural networks and evolutionary computings |c Nazmul Siddique ; Hojjat Adeli |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Chichester |b Wiley |c 2013 | |
| 300 | |a XVII, 512 S. |b graf. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Soft Computing |0 (DE-588)4455833-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Soft Computing |0 (DE-588)4455833-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Adeli, Hojjat |d 1950- |e Verfasser |0 (DE-588)121399060 |4 aut | |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025965817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-025965817 | ||
Datensatz im Suchindex
| _version_ | 1804150309811912704 |
|---|---|
| adam_text | Contents
Foreword
xiii
Preface
xv
Acknowledgements
xix
1
Introduction to Computational Intelligence
1
1.1
Computational Intelligence
1
1.2
Paradigms of Computational Intelligence
2
1.3
Approaches to Computational Intelligence
3
1.3.1
Fuzzy Logic
4
1.3.2
Neural Networks
5
1.3.3
Evolutionary Computing
5
1.3.4
Learning Theory
6
1.3.5
Probabilistic Methods
6
1.3.6
Swarm Intelligence
7
1.4
Synergies of Computational Intelligence Techniques
11
1.5
Applications of Computational Intelligence
12
1.6
Grand Challenges of Computational Intelligence
13
1.7
Overview of the Book
13
1.8
MATLAB^
Basics
14
References
15
2
Introduction to Fuzzy Logic
19
2.1
Introduction
19
2.2
Fuzzy Logic
20
2.3
Fuzzy Sets
21
2.4
Membership Functions
22
2.4.1
Triangular
MF
23
2.4.2
Trapezoidal
MF
23
2.4.3
Gaussian
MF
24
2.4.4
Bell-shaped
MF
24
2.4.5
Sigmoidal
MF
26
2.5
Features of MFs
27
2.5.1
Support
27
2.5.2
Core
27
Contents
2.5.3
Fuzzy Singleton
27
2.5.4
Crossover Point
28
2.6
Operations on Fuzzy Sets
29
2.7
Linguistic Variables
33
2.7.1
Features of Linguistic Variables
33
2.8
Linguistic Hedges
35
2.9
Fuzzy Relations
37
2.9.1
Compositional Rule of Inference
38
2.10
Fuzzy If-Then Rules
39
2.10.1
Rule Forms
40
2.10.2
Compound Rules
40
2.10.3
Aggregation of Rules
41
2.11
Fuzzification
43
2.12
Denazification
44
2.13
Inference Mechanism
48
2.13.1
Mamdani Fuzzy Inference
49
2.13.2
Sugeno Fuzzy Inference
50
2.13.3
Tsukamoto Fuzzy Inference
53
2.14
Worked Examples
54
2.15
MATLAB®
Programs
61
References
61
3
Fuzzy Systems and Applications
65
3.1
Introduction
65
3.2
Fuzzy System
66
3.3
Fuzzy Modelling
67
3.3.1
Structure Identification
67
3.3.2
Parameter Identification
70
3.3.3
Construction of Parameterized Membership Functions
70
3.4
Fuzzy Control
75
3.4.1
Fuzzification
75
3.4.2
Inference Mechanism
76
3.4.3
Rule Base
78
3.4.4
Defuzzification
80
3.5
Design of Fuzzy Controller
81
3.5.
1 Input/Output Selection
82
3.5.2
Choice of Membership Functions
82
3.5.3
Creation of Rule Base
82
3.5.4
Types of Fuzzy Controller
83
3.6
Modular Fuzzy Controller
97
3.7
MATLAB®
Programs
99
References
100
4
Neural Networks
103
4.1
Introduction
103
4.2
Artificial Neuron Model
106
4.3
Activation Functions
107
Contents
4.4 Network
Architecture
108
4.4.1
Feedforward
Networks 109
4.5
Learning in Neural
Networks 124
4.5.1
Supervised Learning
124
4.5.2
U
ns
upe
rv
Lsed
Learning
138
4.6
Recurrent Neural Networks
149
4.6.1
El man Networks
150
4.6.2
Jordan Networks
152
4.6.3
Hopfield Networks
153
4.7
MATLAB®
Programs
155
References
156
5
Neural Systems and Applications
159
5.1
Introduction
159
5.2
System Identification and Control
160
5.2.1
System Description
160
5.2.2
System Identification
160
5.2.3
System Control
161
5.3
Neural Networks for Control
163
5.3.1
System Identification for Control Design
164
5.3.2
Neural Networks for Control Design
165
5.4
MATLAB®
Programs
179
References
180
183
183
183
185
185
186
191
193
194
194
195
í
98
206
208
209
209
213
218
223
230
233
6.7
MATLAB®
Programs
234
References
235
6
Evolutionary Computing
6.1
Introduction
6.2
Evolutionary Computing
6.3
Terminologies of Evolutionary Computing
6.3.1
Chromosome Representation
6.3.2
Encoding Schemes
6.3.3
Population
6.3.4
Evaluation (or Fitness) Functions
6.3.5
Fitness Scaling
6.4
Genetic
■
Operators
6.4.1
Selection Operators
6.4.2
Crossover Operators
6.4.3
Mutation Operators
6.5
Performance Measures of EA
6.6
Evolutionary Algorithms
6.6./
Evolutionary Programming
6.6.2
Evolution Strategies
6.6.3
Genetic Algorithms
6.6.4
Genetic Programming
6.6.5
Differential Evolution
6.6.6
Cultural Algorithm
Contents
7
Evolutionary
Systems 239
7.1
Introduction
239
7.2
Multi-objective Optimization
243
7.2.1
Vector-Evaluated
GA
246
7.2.2
Mul
ti
-objective
GA
247
7.2.3
Niched Pareto
GA
247
7.2.4
Non-dominated Sorting
GA
248
7.2.5
Strength Pareto Evolutionary Algorithm
249
7.3
Co-evolution
250
7.3.1
Cooperative Co-evolution
253
7.3.2
Competitive Co-evolution
255
7.4
Parallel Evolutionary Algorithm
256
7.4.1
Global
G A
257
7.4.2
Migration (or Island) Model GA
258
7.4.3
Diffusion GA
259
7.4.4
Hybrid Parallel GA
261
References
262
8
Evolutionary Fuzzy Systems
265
8.1
Introduction
265
8.2
Evolutionary Adaptive Fuzzy Systems
267
8.2.1
Evolutionary Tuning of Fuzzy Systems
268
8.2.2
Evolutionary Learning of Fuzzy Systems
281
8.3
Objective Functions and Evaluation
287
8.3.1
Objective Functions
287
8.3.2
Evaluation
289
8.4
Fuzzy Adaptive Evolutionary Algorithms
290
8.4.
1 Fuzzy Logic-Based Control ofEA Parameters
292
8.4.2
Fuzzy Logic-Based Genetic Operators ofEA
302
References
303
9
Evolutionary Neural Networks
307
9.1
Introduction
307
9.2
Supportive Combinations
309
9.2.1
NN-EA Supportive Combination
309
9.2.2
EA -NN Supportive Combination
310
9.3
Collaborative Combinations
318
9.3.1
EA for
NN
Connection Weight Training
319
9.3.2
EA for
NN
Architectures
326
9.3.3
EA for
NN
Node Transfer Functions
338
9.3.4
EA for
NN
Weight, Architecture and Transfer Function Training
341
9.4
Amalgamated Combination
343
9.5
Competing Conventions
345
References
351
10
Neural Fuzzy Systems
357
10.1
Introduction
357
10.2
Combination of Neural and Fuzzy Systems
359
Contents xi
10.3
Cooperative
Neuro-Fuzzy Systems 360
10.3.1
Cooperative FS-N
N Systems 361
10.3.2
Cooperative NN-FS Systems
362
10.4
Concurrent Neuro-Fuzzy Systems
369
10.5
Hybrid Neuro-Fuzzy Systems
369
10.5.1
Fuzzy Neural Networks with Mamdani-Type Fuzzy Inference System
370
10.5.2
Fuzzy Neural Networks with Takagi-Sugeno-type Fuzzy
Inference System
372
10.5.3
Fuzzy Neural Networks with Tsukamoto-Type Fuzzy
Inference System
373
10.5.4
Neural Network-Based Fuzzy System (Pi-Sigma Network)
377
10.5.5
Fuzzy-Neural System Architecture with Ellipsoid Input Space
380
10.5.6
Fuzzy Adaptive Learning Control Network (FALCON)
382
10.5.7
Approximate Reasoning-Based Intelligent Control (ARIC)
384
10.5.
Η
Generalized ARIC (GARIC)
388
10.5.9
Fuzzy Basis Function Networks (FBFN)
393
10.5.10
Fuzzy Net (FUN)
396
10.5.11
Combination of Fuzzy Inference and Neural Network in Fuzzy
Inference Software (FINEST)
397
10.5.12
Neuro-Fuzzy Controller (NEFCON)
400
10.5.13
Self-constructing Neural Fuzzy Inference Network (SONFIN)
401
10.6
Adaptive Neuro-Fuzzy System
404
/0.6.1
Adaptive Neuro-Fuzzy Inference System (ANFIS)
404
10.6.2
Coactive
Neuro-Fuzzy Inference System (CANFIS)
407
10.7
Fuzzy Neurons
409
10.8
MATLAB®
Programs
411
References
412
Appendix A:
MATLAB®
Basics
415
Appendix B:
MATLAB®
Programs for Fuzzy Logic
433
Appendix C:
MATLAB®
Programs for Fuzzy Systems
443
Appendix D:
MATLAB®
Programs for Neural Systems
461
Appendix
E: MATLAB®
Programs for Neural Control Design
473
Appendix
F: MATLAB®
Programs for Evolutionary Algorithms
489
Appendix G:
MATLAB®
Programs for Neuro-Fuzzy Systems
497
Index
507
|
| any_adam_object | 1 |
| author | Siddique, N. H. Adeli, Hojjat 1950- |
| author_GND | (DE-588)121399060 |
| author_facet | Siddique, N. H. Adeli, Hojjat 1950- |
| author_role | aut aut |
| author_sort | Siddique, N. H. |
| author_variant | n h s nh nhs h a ha |
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| classification_rvk | ST 301 |
| classification_tum | DAT 700f |
| ctrlnum | (OCoLC)846892168 (DE-599)BSZ377546682 |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV040987964 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:36:53Z |
| institution | BVB |
| isbn | 9781118337844 |
| language | English |
| lccn | 2012047736 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025965817 |
| oclc_num | 846892168 |
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| owner_facet | DE-473 DE-BY-UBG DE-91 DE-BY-TUM |
| physical | XVII, 512 S. graf. Darst. |
| publishDate | 2013 |
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| publisher | Wiley |
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| spelling | Siddique, N. H. Verfasser aut Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings Nazmul Siddique ; Hojjat Adeli 1. publ. Chichester Wiley 2013 XVII, 512 S. graf. Darst. txt rdacontent n rdamedia nc rdacarrier Soft Computing (DE-588)4455833-8 gnd rswk-swf Soft Computing (DE-588)4455833-8 s DE-604 Adeli, Hojjat 1950- Verfasser (DE-588)121399060 aut Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025965817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Siddique, N. H. Adeli, Hojjat 1950- Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings Soft Computing (DE-588)4455833-8 gnd |
| subject_GND | (DE-588)4455833-8 |
| title | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings |
| title_auth | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings |
| title_exact_search | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings |
| title_full | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings Nazmul Siddique ; Hojjat Adeli |
| title_fullStr | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings Nazmul Siddique ; Hojjat Adeli |
| title_full_unstemmed | Computational intelligence synergies of fuzzy logic, neural networks and evolutionary computings Nazmul Siddique ; Hojjat Adeli |
| title_short | Computational intelligence |
| title_sort | computational intelligence synergies of fuzzy logic neural networks and evolutionary computings |
| title_sub | synergies of fuzzy logic, neural networks and evolutionary computings |
| topic | Soft Computing (DE-588)4455833-8 gnd |
| topic_facet | Soft Computing |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025965817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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