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BK

Bibliografie

New Jersey : World Scientific, [2016]

xvi, 263 stran : ilustrace ; 25 cm

ISBN 978-981-314-645-7 (brožováno)

ISBN 978-981-314-644-0 (vázáno)

Obsahuje bibliografie a rejstříky

001462988

Acknowledgements vii // Preface ix // Chapter 1 Deep Learning Neural Networks: Methodology and Scope 1 // 1.1. Definition 1 // 1.2. Brief History of DNN and of its Applications 2 // 1.3. The Scope of the Present Text 5 // 1.4. Brief Outline 7 // References 9 // Chapter 2 Basic Concepts of Neural Networks 13 // 2.1. The Hebbian Principle 13 // 2.2. The Perceptron 14 // 2.3. Associative Memory 16 // 2.4. Winner-Takes-All Principle 18 // 2.5. The Convolution Integral 18 // References 20 // Chapter 3 Back-Propagation 23 // 3.1. The Back Propagation Architecture 23 // 3.2. Derivation of the BP Algorithm 24 // 3.3. Modified BP Algorithms 29 // References 31 // xiii // xiv Contents // Chapter 4 The Cognitron and Neocognitron 33 // 4.1. Introduction 33 // 4.2. Principles of the Cognitron 33 // 4.3. Network Operation 34 // 4.4. Cognitron Training 36 // 4.5. The Neocognitron 37 // References 39 // Chapter 5 Deep Learning Convolutional Neural Networks 41 // 5.1. Introduction 41 // 5.2. CNN Structure 42 // 5.3. The Convolutional Layers 46 // 5.4. Back Propagation 47 // 5.5. RELU Layers 48 // 5.6. Pooling Layers 49 // 5.7. Dropout 50 // 5.8. Output FC Layer 51 // 5.9. Parameter (Weight) Sharing 00 // 5.10. Applications 52 // 5.11. Case Studies (with program codes) 53 // References 53 // Chapter 6 LAMSTAR-1 and LAMSTAR-2 Neural Networks 57 // 6.1. LAMSTAR Principles 57 // 6.2. LAMSTAR-1 (LNN-1) 71 // 6.3. LAMSTAR-2 (LNN-2) 77 // 6.4. Data Analysis with LAMSTAR-1 and LAMSTAR-2 85 // // 6.5. LAMSTAR Data-Balancing Pre-Setting Procedure 90 // 6.6. Comments and Applications 95 // References 98 // Chapter 7 Other Neural Networks for Deep Learning 101 // 7.1. Deep Boltzmann Machines (DBM) 101 // 7.2. Deep Recurrent Learning Neural Networks (DRN) 104 // 7.3. Deconvolution/Wavelet Neural Networks 104 // References 108 //

Chapter 8 Case Studies // 8.1. Human Activities Recognition (A Bose) 111 // 8.2. Medicine: Predicting Onset of Seizures in Epilepsy 116 // (J Tran) // 8.3. Medicine: Image Processing: Cancer Detection 117 // (D Bose) // 8.4. Image Processing: From 2D Images to 3D 119 // (J C Somasundaram) // 8.5. Image Analysis: Scene Classification (N Koundinya) 120 // 8.6. Image Recognition: Fingerprint Recognition 1 122 // (A Daggubati) // 8.7. Image Recognition: Fingerprint Recognition 2 124 // (A Pongum) // 8.8. Face Recognition (S Gangineni) 125 // 8.9. Image Recognition — Butterfly Species Classification 126 (V N S Kadi) // 8.10. Image Recognition: Leaf Classification (P Bendili) 127 // 8.11. Image Recognition: Traffic Sign Recognition 129 // (D Somasundaram) // 8.12. Information Retrieval: Programming Language 130 // Classification (E Wolfson) // 8.13. Information Retrieval: Data Classification from 131 // Transcribed Spoken Conversation (A Kumar) // 8.14. Speech Recognition (M Racha) 133 // 8.15. Music Genre Classification (Y Fan, C Deshpande) 134 // 8.16. Security/Finance: Credit Card Fraud Detection 135 // (F Wang) // 8.17. Predicting Location for Oil Drilling from 136 // Permeability Data in Test Drills (A S Hussain) // 8.18. Prediction of Forest Fires (S R ? Muralidharan) 138 // 8.19. Predicting Price Movement in Market Microstmcture 139 (X Shi) // 8.20. Fault Detection: Bearing Fault Diagnosis via Acoustic 140 Emission (M He) // Chapter 9 Concluding Comments 14 // Problems // Appendices to Case Studies of Chapter 8 153 // A.8.1. Human Activity — Codes (A Bose) 154 // A.8.2. Predicting Seizures in Epilepsy (J Tran) 161 // A.8.3. Cancer Detection (D Bose) 167 // A.8.4. Depth Information from 2D Images 171 // (J C Somaundaram) // A.8.5. Scene Classification (N Koudinya) 176 // A.8.6. Fingerprint Recognition 1 (A Daggubati) 181 //

A.8.7. Fingerprint Recognition 2 (A Pongum) 182 // A.8.8. Face Recognotion (S Gangineni) 183 // A.8.9. Butterfly Species Recognition (V R S S Kadi) 188 // A.8.10. Leaf Classification (P Bondili) 198 // A.8.11. Traffic Sign Recognition (D Somasundaram) 200 // A.8.12. Programming-Language Classification (E Wolfson) 201 A.8.13. Data Classification from Transcribed 207 // Spoken Text (A Kumar) // A.8.14. Speech Recognition (M Racha) 225 // A.8.15. Music Genre Classification (C Deshpande) 232 // A.8.16. Credit Card Fraud Detection (F Wang) 237 // A.8.17. Predicting Site for Oil Drilling from Permeability 240 Data (S A Hussain) // A.8.18. Predicting Forest Fires (S R ? Muralidharan) 244 // A.8.19. Predicting Price Movement in Market Microstructure 250 (X Shi) // A.8.20. Fault Detection (M He) 250 // Author Index 255 // Subject Index 259

(OCoLC)953843908