Modular neural networks and type-2 fuzzy systems for pattern recognition:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2012
|
| Schriftenreihe: | Studies in computational intelligence
389 |
| Schlagwörter: | |
| Links: | http://deposit.dnb.de/cgi-bin/dokserv?id=3869579&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024622393&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Literaturangaben |
| Umfang: | X, 214 S. Ill., graph. Darst. 25 cm |
| ISBN: | 9783642241383 3642241387 |
Internformat
MARC
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| 245 | 1 | 0 | |a Modular neural networks and type-2 fuzzy systems for pattern recognition |c Patricia Melin |
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Datensatz im Suchindex
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|---|---|
| adam_text | IMAGE 1
CONTENTS
PART I: BASIC CONCEPTS AND THEORY 1 INTRODUCTION TO TYPE-2 FUZZY LOGIC
IN NEURAL PATTERN RECOGNITION SYSTEMS ********** ***....
********.***..*..***.......**...* ********.....* 3
2 TYPE-1 AND TYPE-2 FUZZY INFERENCE SYSTEMS FOR IMAGES EDGE DETECTION 7
2.1 INTRODUCTION 7
2.2 SOBEL OPERATORS 8
2.3 EDGE DETECTION BY GRADIENT MAGNITUDE 9
2.4 EDGE DETECTION USING TYPE-1 FUZZY LOGIC 10
2.5 EDGE DETECTION USING TYPE-2 FUZZY LOGIC 14
2.6 COMPARISON OF RESULTS 16
2.7 SUMMARY 19
3 TYPE-2 FUZZY LOGIC FOR IMPROVING TRAINING DATA AND RESPONSE
INTEGRATION IN MODULAR NEURAL NETWORKS 21
3.1 METHOD FOR IMAGE RECOGNITION 21
3.2 TYPE-2 FUZZY INFERENCE SYSTEM AS EDGE DETECTOR 22
3.3 THE MODULAR STRUCTURE 25
3.4 SIMULATION RESULTS 25
3.5 SUMMARY 28
4 METHOD FOR RESPONSE INTEGRATION IN MODULAR NEURAL NETWORKS USING
TYPE-2 FUZZY LOGIC 29
4.1 INTRODUCTION 29
4.2 PROPOSED APPROACH FOR RECOGNITION 31
4.3 MODULAR NEURAL NETWORKS 31
4.4 INTEGRATION OF RESULTS FOR PERSON RECOGNITION USING FUZZY LOGIC 32
4.5 MODULAR NEURAL NETWORKS WITH TYPE-2 FUZZY LOGIC AS A METHOD FOR
RESPONSE INTEGRATION 33
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1014484065
DIGITALISIERT DURCH
IMAGE 2
VIII CONTENTS
4.6 SIMULATION RESULTS 35
4.7 SUMMARY 39
PART II: MODULAR NEURAL NETWORKS IN PATTERN RECOGNITION
5 MODULAR NEURAL NETWORKS FOR PERSON RECOGNITION USING THE CONTOUR
SEGMENTATION OF THE HUMAN IRIS 43
5.1 INTRODUCTION 43
5.2 BACKGROUND AND BASIC CONCEPTS 44
5.3 PROPOSED METHOD AND PROBLEM DESCRIPTION 46
5.4 MODULAR NEURAL NETWORK ARCHITECTURE 49
5.5 SIMULATION RESULTS 50
5.6 SUMMARY 58
6 MODULAR NEURAL NETWORKS FOR HUMAN RECOGNITION FROM EAR IMAGES
COMPRESSED USING WAVELETS 61
6.1 INTRODUCTION 61
6.2 BACKGROUND 64
6.3 EAR RECOGNITION PROCESS 66
6.4 SUMMARY 75
7 SIGNATURE RECOGNITION WITH A HYBRID APPROACH COMBINING MODULAR NEURAL
NETWORKS AND FUZZY LOGIC FOR RESPONSE INTEGRATION 77 7.1 INTRODUCTION 77
7.2 PROBLEM STATEMENT AND OUTLINE OF OUR PROPOSAL 78
7.3 BACKGROUND THEORY 79
7.4 EXPERIMENTS 85
7.5 SUMMARY 92
8 INTERVAL TYPE-2 FUZZY LOGIC FOR MODULE RELEVANCE ESTIMATION IN SUGENO
RESPONSE INTEGRATION OF MODULAR NEURAL NETWORKS 93 8.1 INTRODUCTION 93
8.2 MODULAR NEURAL NETWORKS 94
8.3 SUGENO INTEGRAL FOR MODULES FUSION 96
8.4 THE SUGENO INTEGRAL 97
8.5 FUZZY LOGIC FOR DENSITY ESTIMATION 97
8.6 FIS-1 TO ESTIMATE FUZZY DENSITIES 99
8.7 FIS-2 FOR ESTIMATE FUZZY DENSITIES 100
8.8 SUGENO INTEGRAL FOR INFORMATION FUSION 101
8.9 SIMULATION RESULTS 103
8.10 SUMMARY 105
IMAGE 3
IX CONTENTS
PART III: OPTIMIZATION OF MODULAR NEURAL NETWORKS FOR PATTERN
RECOGNITION
9 OPTIMIZATION OF FUZZY RESPONSE INTEGRATORS IN MODULAR NEURAL NETWORKS
WITH HIERARCHICAL GENETIC ALGORITHMS 109
9.1 INTRODUCTION 109
9.2 NEURAL NETWORKS 110
9.3 FUZZY LOGIC I LL
9.4 GENETIC ALGORITHMS 112
9.5 MODULAR NEURAL NETWORK WITH FUZZY INTEGRATION FOR FACE, FINGERPRINT
AND VOICE RECOGNITION 113
9.6 MODULAR NEURAL NETWORK RESULTS 115
9.7 FUZZY INTEGRATION RESULTS 118
9.8 HIERARCHICAL GENETIC ALGORITHM 119
9.9 COMPARISON WITH OTHER WORKS 124
9.10 SUMMARY 126
10 MODULAR NEURAL NETWORK WITH FUZZY RESPONSE INTEGRATION AND ITS
OPTIMIZATION USING GENETIC ALGORITHMS FOR HUMAN RECOGNITION BASED ON
IRIS, EAR AND VOICE BIOMETRICS 127
10.1 INTRODUCTION 127
10.2 BACKGROUND 128
10.3 BASIC CONCEPTS 129
10.4 PROPOSED METHOD AND RESULTS 130
10.5 SUMMARY 144
11 A COMPARATIVE STUDY OF TYPE-2 FUZZY SYSTEM OPTIMIZATION BASED ON
PARAMETER UNCERTAINTY OF MEMBERSHIP FUNCTIONS 145 11.1 INTRODUCTION 145
11.2 PRELIMINARIES 146
11.3 OPTIMIZATION METHOD DESCRIPTION 147
11.4 FUZZY SYSTEMS OPTIMIZATION BASED ON THE LEVEL OF UNCERTAINTY 148
11.5 SIMULATION RESULTS 150
11.6 SUMMARY 161
12 NEURAL NETWORK OPTIMIZATION FOR THE RECOGNITION OF PERSONS USING THE
IRIS BIOMETRIE MEASURE 163
12.1 INTRODUCTION 163
12.2 METHODS OF INTEGRATION 164
12.3 IRIS IMAGE PRE-PROCESSING 165
12.4 STATEMENT OF THE PROBLEM AND PROPOSED METHOD 170
12.5 SUMMARY 184
IMAGE 4
CONTENTS
13 OPTIMIZATION OF NEURAL NETWORKS FOR THE ACCURATE IDENTIFICATION OF
PERSONS BY IMAGES OF THE HUMAN EAR AS BIOMETRIE MEASURE 185 13.1
INTRODUCTION 185
13.2 MODULAR ARTIFICIAL NEURAL NETWORKS 186
13.3 INTEGRATION METHODS 187
13.4 PRE-PROCESSING THE BIOMETRIE IMAGE OF THE EAR 188
13.5 PROBLEM STATEMENT AND PROPOSED METHOD 190
13.6 SUMMARY 204
REFERENCES 205
INDEX 213
|
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| id | DE-604.BV039761202 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T16:01:58Z |
| institution | BVB |
| isbn | 9783642241383 3642241387 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024622393 |
| oclc_num | 766009042 |
| open_access_boolean | |
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| owner_facet | DE-11 DE-473 DE-BY-UBG |
| physical | X, 214 S. Ill., graph. Darst. 25 cm |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Melin, Patricia 1962- Modular neural networks and type-2 fuzzy systems for pattern recognition Studies in computational intelligence Fuzzy-Logik Typ 2 (DE-588)7615986-3 gnd Mustererkennung (DE-588)4040936-3 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)7615986-3 (DE-588)4040936-3 (DE-588)4366912-8 (DE-588)4226127-2 |
| title | Modular neural networks and type-2 fuzzy systems for pattern recognition |
| title_auth | Modular neural networks and type-2 fuzzy systems for pattern recognition |
| title_exact_search | Modular neural networks and type-2 fuzzy systems for pattern recognition |
| title_full | Modular neural networks and type-2 fuzzy systems for pattern recognition Patricia Melin |
| title_fullStr | Modular neural networks and type-2 fuzzy systems for pattern recognition Patricia Melin |
| title_full_unstemmed | Modular neural networks and type-2 fuzzy systems for pattern recognition Patricia Melin |
| title_short | Modular neural networks and type-2 fuzzy systems for pattern recognition |
| title_sort | modular neural networks and type 2 fuzzy systems for pattern recognition |
| topic | Fuzzy-Logik Typ 2 (DE-588)7615986-3 gnd Mustererkennung (DE-588)4040936-3 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Fuzzy-Logik Typ 2 Mustererkennung Evolutionärer Algorithmus Neuronales Netz |
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| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT melinpatricia modularneuralnetworksandtype2fuzzysystemsforpatternrecognition |