Pattern recognition using neural and functional networks:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin ; Heidelberg
Springer
2009
|
| Series: | Studies in computational intelligence
160 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 137 - 142 |
| Physical Description: | XXII, 181 S. Ill., graph. Darst. |
| ISBN: | 9783540851295 |
Staff View
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| 245 | 1 | 0 | |a Pattern recognition using neural and functional networks |c Vasantha Kalyani David ; Sundaramoorthy Rajasekaran |
| 264 | 1 | |a Berlin ; Heidelberg |b Springer |c 2009 | |
| 300 | |a XXII, 181 S. |b Ill., graph. Darst. | ||
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Record in the Search Index
| _version_ | 1804138838759571456 |
|---|---|
| adam_text | CONTENTS 1 INTRODUCTION 1 1.1 INTRODUCTION 1 1.2 RECOGNITION THROUGH
ALGORITHM AND KOHONEN S SEIF ORGANIZING MAP 2 1.3 MICROARTMAP 2 1.4
WAVELET TRANSFORMS 3 1.5 GESTURE RECOGNITION 4 1.6 COMPETITIVE HOPFIELD
NEURAL NETWORK 5 1.7 NEURAL AND FUNCTIONAL NETWORKS 5 1.8 OBJECTIVES AND
SCOPE OF THE INVESTIGATION 6 1.9 ORGANIZATION OF THE BOOK 6 1.10 SUMMARY
7 2 REVIEW OF ARCHITECTURES RELEVANT TO THE INVESTIGATION 9 2.1
INTRODUCTION 9 2.2 RECOGNITION THROUGH SEIF ORGANIZING MAP 10 2.3 THE
/IARTMAP 10 2.4 WAVELET TRANSFORMS AND MICROARTMAP 11 2.5 MICROARTMAP
AND GESTURE RECOGNITION 11 2.6 COMPETITIVE HOPFIELD NEURAL NETWORK 11
2.7 FUNCTIONAL NETWORKS AND MULTIPLE REGRESSION ANALYSIS 12 2.8 SUMMARY
12 3 RECOGNITION OF ENGLISH AND TAMIL ALPHABETS USING KOHONEN S
SELF-ORGANIZING MAP 15 3.1 INTRODUCTION 15 3.2 RECOGNITION OF
HANDWRITTEN CHARACTERS USING ORDERED LIST OF IMAGE PIXELS ON ITS
BOUNDARY 15 3.3 THE KOHONEN FEATURE MAP 18 3.4 NORMALIZATION OF A VECTOR
19 3.5 TRAINING LAW 19 3.6 NEIGHBOURHOOD SIZE 19 BIBLIOGRAFISCHE
INFORMATIONEN HTTP://D-NB.INFO/989493970 DIGITALISIERT DURCH CONTENTS
3.7 THE KOHONEN NETWORK 19 3.8 REPRESENTATION OF CHARACTERS 19 3.9
WEIGHT VECTOR 20 3.10 SUMMARY 26 ADAPTIVE RESONANCE THEORY NETWORKS 27
4.1 INTRODUCTION 27 4.2 ART NETWORK 28 4.2.1 RESONANT STATE 28 4.2.2 THE
STM AND LTM TRACES 28 4.2.3 THE STRUCTURE OF THE ART MODEL 30 4.2.4
PATTEM-MATCHING CYCLE IN AN ART NETWORK 31 4.2.5 THE 2/3 RULE 31 4.2.6
GAIN CONTROL MECHANISM 32 4.3 FUZZY ART 33 4.3.1 ANALOGY BETWEEN ART1
AND FUZZY ART 33 4.3.2 FAST-LEARN, SLOW-RECODE AND COMPLEMENT CODING 34
4.3.3 COMPLEMENT CODING 34 4.3.4 WEIGHT VECTORS 36 4.3.5 PARAMETERS 36
4.3.6 CATEGORY CHOICE 36 4.3.7 RESONANCE OR RESET 37 4.3.8 LEARNING LAW
37 4.3.9 NORMALIZATION OF FUZZY ART INPUTS 38 4.3.10 GEOMETRIE
INTERPRETATION OF FUZZY ART 39 4.3.11 FUZZY ART CATEGORY BOXES IN FUZZY
CUBES 39 4.3.12 FUZZY ART STABLE CATEGORY LEARNING 42 4.4 FUZZY ARTMAP
43 4.4.1 FUZZY ARTMAP AND MICROARTMAP 43 4.4.2 MICROARTMAP ALGORITHM
(SUPERVISED NEURAL NETWORK ARCHITECTURE) 44 4.4.3 MAP FIELD ACTIVATION
45 4.4.4 MATCH TRACKING 45 4.4.5 MAP FIELD LEARNING 46 4.4.6 DEFINING H
46 4.4.7 TRAINING OF ^ARTMAP 47 4.4.8 INTER ART RESET 47 4.4.9 OFFLINE
EVALUATION 48 4.4.10 /IARTMAP PREDICTION 48 4.4.11 FAST LEARNING IN
/^ARTMAP 48 4.4.1 CONTENTS XI APPLICATIONS OF MICROARTMAP 51 5.1
INTRODUCTION 51 5.2 RECOGNITION OF HANDWRITTEN ALPHABETS BY /IARTMAP 51
5.3 RECOGNITION OF HANDWRITTEN WORDS BY /XARTMAP 53 5.4 RECOGNITION OF
HANDWRITTEN ALPHABETS BY FIAKTMAP AUGMENTED WITH MOMENT-BASED FEATURE
EXTRACTOR 53 5.4.1 INTRODUCTION 53 5.4.2 STEPS INVOLVED IN OBTAINING
MOMENT INVARIANTS 55 5.5 RECOGNITION OF HANDWRITTEN NUMBERS BY SS ARTMAP
USING HAMMING DISTANCE 59 5.6 RECOGNITION OF ALPHABETS AND NUMBERS USING
SS ARTMAP WITH ONLY ONE EXEMPLAR FOR TRAINING 60 5.7 RECOGNITION OF
ALPHABETS BY /IARTMAP WITH INCREASED SAMPLE SIZE 61 5.8 BIS
CLASSIFICATION OF SOIL 61 5.9 PLASTIFICATION OF CLAMPED ISOTROPIE PLATE
64 5.10 APPLICATION TO EARTHQUAKE ENGINEERING 65 5.11 SUMMARY 71 WAVELET
TRANSFORMS AND MICROARTMAP 73 6.1 INTRODUCTION 73 6.2 THE NEED FOR
TRANSFORMS 73 6.3 FOURIER TRANSFORM 73 6.4 TRANSFORMS AVAILABLE 74 6.5
WAVELET TRANSFORMS 74 6.6 CONTINUOUS WAVELET TRANSFORMS (CWT) 75 6.7
DISCRETE WAVELET TRANSFORMS (DWT) 75 6.8 WAVELET FUNCTIONS 77 6.9
WAVELET ANALYSIS 77 6.10 SCHEMATIC REPRESENTATION OF THE WORKING OF A
WAVELET 78 6.11 HANDWRITTEN CHARACTERS RECOGNITION USING WAVELET
TRANSFORMS AND MICROARTMAP 82 6.1 XII CONTENTS 7 GESTURE AND SIGNATURE
RECOGNITION USING MICROARTMAP 93 7.1 INTRODUCTION 93 7.2 GESTURES 93 7.3
GESTURE RECOGNITION 93 7.4 VOICE RECOGNITION 94 7.5 HAND WRITING
RECOGNITION 95 7.6 HAND GESTURES IN HCI (HUMAN - COMPUTER INTERACTION)
96 7.7 GESTURE PROCESSING 98 7.7.1 GESTURE ACQUISITION - REQUIREMENTS 98
7.7.2 GESTURE PREPROCESSING 99 7.7.3 FEATURE EXTRACTION 99 7.7.4
STATISTICAL APPROACH 99 7.7.5 BLOCK PROCESSING 101 7.8 WAVELET APPROACH
101 7.8.1 DWT SELECTION 103 7.9 NEURAL NETWORK FOR GESTURE RECOGNITION
103 7.9.1 APPLICATION- ROBOTICS - ROBOTIC ARM MODEL 104 7.10 INTERFACE
CIRCUIT 106 7.11 BACK PROPAGATION NETWORK 107 7.12 STATISTICAL APPROACH
107 7.13 BLOCK PROCESSING: FOR 16 FEATURES 107 7.14 WAVELET APPROACH 110
7.15 MICROARTMAP 111 7.16 SIGNATURE RECOGNITION USING MICROARTMAP AND
BLOCK PROCESSING 112 7.17 SUMMARY 113 8 SOLVING SCHEDULING PROBLEMS WITH
COMPETITIVE HOPFIELD NEURAL NETWORKS 115 8.1 INTRODUCTION 115 8.2 THE
ENERGY FUNCTION 115 8.3 ALGORITHM 117 8.4 SIMULATION EXAMPLE CASE (I)
117 8.5 EXAMPLE CASE (II) 119 8.6 SUMMARY 122 9 FUNCTIONAL NETWORKS 123
9.1 INTRODUCTION 123 9.2 FUNCTIONAL NETWORKS 123 9.3 PROCEDURE TO WORK
WITH FUNCTIONAL NETWORKS 124 9. CONTENTS XIII 10 CONCLUSIONS AND
SUGGESTIONS FOR FUTURE WORK 135 10.1 CONCLUSIONS 135 10.2 SUGGESTIONS
FOR FUTURE WORK 136 REFERENCES 137 A MICROARTMAP MATLAB IMPLEMENTATION
143 B DWT ON DBL WAVELETS - NUMBER.M 155 C INPUTS TO ARTMAP FOR
SIGNATURES 159 D THE COMPETITIVE HOPFIELD NEURAL NETWORK 163 E MOMENT
INVARIANTS FOR HANDWRITTEN CHARACTERS 169 F PATTERN.CPP 177 F HANDPGM2.M
183
|
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| classification_rvk | ST 301 |
| ctrlnum | (OCoLC)244421151 (DE-599)DNB989493970 |
| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.32 |
| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| indexdate | 2024-07-09T21:34:33Z |
| institution | BVB |
| isbn | 9783540851295 |
| language | English |
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| physical | XXII, 181 S. Ill., graph. Darst. |
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| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | David, Vasantha Kalyani Verfasser aut Pattern recognition using neural and functional networks Vasantha Kalyani David ; Sundaramoorthy Rajasekaran Berlin ; Heidelberg Springer 2009 XXII, 181 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 160 Literaturverz. S. 137 - 142 Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s Neuronales Netz (DE-588)4226127-2 s Soft Computing (DE-588)4455833-8 s DE-604 Rajasekaran, Sundaramoorthy Verfasser aut Studies in computational intelligence 160 (DE-604)BV020822171 160 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017328313&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | David, Vasantha Kalyani Rajasekaran, Sundaramoorthy Pattern recognition using neural and functional networks Studies in computational intelligence Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd Soft Computing (DE-588)4455833-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4455833-8 (DE-588)4226127-2 |
| title | Pattern recognition using neural and functional networks |
| title_auth | Pattern recognition using neural and functional networks |
| title_exact_search | Pattern recognition using neural and functional networks |
| title_full | Pattern recognition using neural and functional networks Vasantha Kalyani David ; Sundaramoorthy Rajasekaran |
| title_fullStr | Pattern recognition using neural and functional networks Vasantha Kalyani David ; Sundaramoorthy Rajasekaran |
| title_full_unstemmed | Pattern recognition using neural and functional networks Vasantha Kalyani David ; Sundaramoorthy Rajasekaran |
| title_short | Pattern recognition using neural and functional networks |
| title_sort | pattern recognition using neural and functional networks |
| topic | Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd Soft Computing (DE-588)4455833-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Pattern recognition systems Mustererkennung Soft Computing Neuronales Netz |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017328313&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT davidvasanthakalyani patternrecognitionusingneuralandfunctionalnetworks AT rajasekaransundaramoorthy patternrecognitionusingneuralandfunctionalnetworks |