Introduction to neural networks with Java:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Chesterfield, Miss.
Heaton Research
2005
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Ausgabe: | 1. ed., 2. print. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXX, S. 31 - 376 Ill., graph. Darst. |
ISBN: | 9780977320608 097732060X |
Internformat
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Datensatz im Suchindex
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adam_text | INTRODUCTION TO NEURAL NETWORKS WITH JAVA BY JEFF HEATON HEATON HEATON
RESEARCH, INC. ST. LOUIS INTENTS XV [ CONTENTS I CHAPTER 1: OVERVIEW OF
ARTIFICIAL INTELLIGENCE 31 UNDERSTANDING NEURAL NETWORKS 31 I SIMULATING
A BIOLOGICAL NEURAL NETWORK WITH A COMPUTER 34 SOLVING PROBLEMS WITH
NEURAL NETWORKS 35 A HISTORICAL PERSPECTIVE ON NEURAL NETWORKS 37 NEURAL
NETWORK TODAY AND IN THE FUTURE 41 QUANTUM COMPUTING 42 QUANTUM
COMPUTING 43 QUANTUM NEURAL NETWORKS 45 CHAPTER SUMMARY 45 CHAPTER 2:
UNDERSTANDING NEURAL NETWORKS 49 NEURAL NETWORK STRUCTURE 49 NEURON
LAYERS 52 PATTERN RECOGNITION 53 AUTOASSOCIATION 54 THE HOPFIELD NETWORK
55 RECALLING PATTERNS 56 HOPFIELD NEURAL NETWORK EXAMPLE 60 USING THE
HOPFIELD NETWORK 60 CONSTRUCTING THE HOPFIELD EXAMPLE 62 TRAINING THE
NETWORK 69 DETERMINING THE NEURON OUTPUT 70 SUMMARY 74 CHAPTER 3: USING
MULTILAYER NEURAL NETWORKS 77 USING THE JOONE EDITOR 77 USING A JAVA
NEURAL NETWORK 91 SETTING UP THE NEURAL NETWORK 101 TRAINING THE NEURAL
NETWORK 103 SUMMARY 104 CHAPTER 4: HOW A MACHINE LEARNS 107 LEARNING
METHODS 107 ERROR CALCULATION 109 TRAINING ALGORITHM 114 SUMMARY 123
CHAPTER 5: UNDERSTANDING BACKPROPAGATION 125 A FEEDFORWARD NEURAL
NETWORK 126 XVI INTRODUCTION TO NEURAL NETWORKS WITH JAVA THE NUMBER OF
HIDDEN LAYERS 128 JAVA AND THREADS 131 EXAMINING THE FEEDFORWARD PROCESS
138 EXAMINING THE BACKPROPAGATION PROCESS 146 IMPLEMENTING
BACKPROPAGATION 147 SUMMARY 152 CHAPTER 6: UNDERSTANDING THE KOHONEN
NEURAL NETWORK 155 INTRODUCING THE KOHONEN NEURAL NETWORK 155
IMPLEMENTING THE KOHONEN NEURAL NETWORK 163 USING THE KOHONEN NEURAL
NETWORK 186 SUMMARY 191 CHAPTER 7: OCR WITH THE KOHONEN NEURAL NETWORK
193 THE OCR APPLICATION 193 IMPLEMENTING THE OCR PROGRAM 196 USING THE
KOHONEN NEURAL NETWORK 205 BEYOND THIS EXAMPLE 210 SUMMARY 211 CHAPTER
8: UNDERSTANDING GENETIC ALGORITHMS 215 GENETIC ALGORITHMS 215
UNDERSTANDING GENETIC ALGORITHMS 217 HOW GENETIC ALGORITHMS WORK 218 THE
TRAVELING SALESMEN PROBLEM 220 IMPLEMENTING THE TRAVELING SALESMEN
PROBLEM 221 SUMMARY 242 CHAPTER 9: UNDERSTANDING SIMULATED ANNEALING 245
SIMULATED ANNEALING BACKGROUND 245 UNDERSTANDING SIMULATED ANNEALING 246
SIMULATED ANNEALING AND THE TRAVELING SALESMAN PROBLEM 248 IMPLEMENTING
SIMULATED ANNEALING 249 APPLICATION TO THE TRAVELING SALESMAN 260
SUMMARY . ....265 CHAPTER 10: HANDLING LOCAL MINIMA 267 UNDERSTANDING
MINIMA 267 ESCAPING LOCAL MINIMA 268 IMPLEMENTING LOCAL MINIMA ESCAPE
269 SUMMARY 294 CHAPTER 11: PRUNING NEURAL NETWORKS 297 UNDERSTANDING
PRUNING 297 XVII PRUNING ALGORITHMS 299 IMPLEMENTING PRUNING 302 SUMMARY
322 CHAPTER 12: FUZZY LOGIC 325 WHAT IS LOGIC 325 UNDERSTANDING FUZZY
LOGIC 326 IMPLEMENTING FUZZY LOGIC 329 FUZZY LOGIC EXAMPLES 336 GRAPHING
FUZZY SETS 336 SUMMARY 344 APPENDIX A: JOONE REFERENCE 347 APPENDIX B.
MATHEMATICAL BACKGROUND 349 WHY MATRIXES? 349 MATRIX OPERATIONS 349
SIGMA NOTATION 350 APPENDIX C: COMPILING EXAMPLES UNDER WINDOWS 353 JAVA
ENVIRONMENT 353 COMPILING AND EXECUTING EXAMPLES 359 APPENDIX D.
COMPILING EXAMPLES UNDER LINUX/UNIX 363 JAVA ENVIRONMENT 363 INSTALLING
JOONE 363 TESTING YOUR ENVIRONMENT 366 COMPILING AND EXECUTING EXAMPLES
367 INSTALLING ANT 367 COMPILING AN EXAMPLE 368 EXECUTING AN EXAMPLE 368
INDEX 371
|
adam_txt |
INTRODUCTION TO NEURAL NETWORKS WITH JAVA BY JEFF HEATON HEATON HEATON
RESEARCH, INC. ST. LOUIS INTENTS XV [ CONTENTS I CHAPTER 1: OVERVIEW OF
ARTIFICIAL INTELLIGENCE 31 UNDERSTANDING NEURAL NETWORKS 31 I SIMULATING
A BIOLOGICAL NEURAL NETWORK WITH A COMPUTER 34 SOLVING PROBLEMS WITH
NEURAL NETWORKS 35 A HISTORICAL PERSPECTIVE ON NEURAL NETWORKS 37 NEURAL
NETWORK TODAY AND IN THE FUTURE 41 QUANTUM COMPUTING 42 QUANTUM
COMPUTING 43 QUANTUM NEURAL NETWORKS 45 CHAPTER SUMMARY 45 CHAPTER 2:
UNDERSTANDING NEURAL NETWORKS 49 NEURAL NETWORK STRUCTURE 49 NEURON
LAYERS 52 PATTERN RECOGNITION 53 AUTOASSOCIATION 54 THE HOPFIELD NETWORK
55 RECALLING PATTERNS 56 HOPFIELD NEURAL NETWORK EXAMPLE 60 USING THE
HOPFIELD NETWORK 60 CONSTRUCTING THE HOPFIELD EXAMPLE 62 TRAINING THE
NETWORK 69 DETERMINING THE NEURON OUTPUT 70 SUMMARY 74 CHAPTER 3: USING
MULTILAYER NEURAL NETWORKS 77 USING THE JOONE EDITOR 77 USING A JAVA
NEURAL NETWORK 91 SETTING UP THE NEURAL NETWORK 101 TRAINING THE NEURAL
NETWORK 103 SUMMARY 104 CHAPTER 4: HOW A MACHINE LEARNS 107 LEARNING
METHODS 107 ERROR CALCULATION 109 TRAINING ALGORITHM 114 SUMMARY 123
CHAPTER 5: UNDERSTANDING BACKPROPAGATION 125 A FEEDFORWARD NEURAL
NETWORK 126 XVI INTRODUCTION TO NEURAL NETWORKS WITH JAVA THE NUMBER OF
HIDDEN LAYERS 128 JAVA AND THREADS 131 EXAMINING THE FEEDFORWARD PROCESS
138 EXAMINING THE BACKPROPAGATION PROCESS 146 IMPLEMENTING
BACKPROPAGATION 147 SUMMARY 152 CHAPTER 6: UNDERSTANDING THE KOHONEN
NEURAL NETWORK 155 INTRODUCING THE KOHONEN NEURAL NETWORK 155
IMPLEMENTING THE KOHONEN NEURAL NETWORK 163 USING THE KOHONEN NEURAL
NETWORK 186 SUMMARY 191 CHAPTER 7: OCR WITH THE KOHONEN NEURAL NETWORK
193 THE OCR APPLICATION 193 IMPLEMENTING THE OCR PROGRAM 196 USING THE
KOHONEN NEURAL NETWORK 205 BEYOND THIS EXAMPLE 210 SUMMARY 211 CHAPTER
8: UNDERSTANDING GENETIC ALGORITHMS 215 GENETIC ALGORITHMS 215
UNDERSTANDING GENETIC ALGORITHMS 217 HOW GENETIC ALGORITHMS WORK 218 THE
TRAVELING SALESMEN PROBLEM 220 IMPLEMENTING THE TRAVELING SALESMEN
PROBLEM 221 SUMMARY 242 CHAPTER 9: UNDERSTANDING SIMULATED ANNEALING 245
SIMULATED ANNEALING BACKGROUND 245 UNDERSTANDING SIMULATED ANNEALING 246
SIMULATED ANNEALING AND THE TRAVELING SALESMAN PROBLEM 248 IMPLEMENTING
SIMULATED ANNEALING 249 APPLICATION TO THE TRAVELING SALESMAN 260
SUMMARY .'.265 CHAPTER 10: HANDLING LOCAL MINIMA 267 UNDERSTANDING
MINIMA 267 ESCAPING LOCAL MINIMA 268 IMPLEMENTING LOCAL MINIMA ESCAPE
269 SUMMARY 294 CHAPTER 11: PRUNING NEURAL NETWORKS 297 UNDERSTANDING
PRUNING 297 XVII PRUNING ALGORITHMS 299 IMPLEMENTING PRUNING 302 SUMMARY
322 CHAPTER 12: FUZZY LOGIC 325 WHAT IS LOGIC 325 UNDERSTANDING FUZZY
LOGIC 326 IMPLEMENTING FUZZY LOGIC 329 FUZZY LOGIC EXAMPLES 336 GRAPHING
FUZZY SETS 336 SUMMARY 344 APPENDIX A: JOONE REFERENCE 347 APPENDIX B.
MATHEMATICAL BACKGROUND 349 WHY MATRIXES? 349 MATRIX OPERATIONS 349
SIGMA NOTATION 350 APPENDIX C: COMPILING EXAMPLES UNDER WINDOWS 353 JAVA
ENVIRONMENT 353 COMPILING AND EXECUTING EXAMPLES 359 APPENDIX D.
COMPILING EXAMPLES UNDER LINUX/UNIX 363 JAVA ENVIRONMENT 363 INSTALLING
JOONE 363 TESTING YOUR ENVIRONMENT 366 COMPILING AND EXECUTING EXAMPLES
367 INSTALLING ANT 367 COMPILING AN EXAMPLE 368 EXECUTING AN EXAMPLE 368
INDEX 371 |
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index_date | 2024-07-02T15:42:57Z |
indexdate | 2024-07-09T20:44:03Z |
institution | BVB |
isbn | 9780977320608 097732060X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014998537 |
oclc_num | 70819758 |
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physical | XXX, S. 31 - 376 Ill., graph. Darst. |
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publishDateSearch | 2005 |
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spelling | Heaton, Jeff Verfasser (DE-588)1114194093 aut Introduction to neural networks with Java by Jeff Heaton 1. ed., 2. print. Chesterfield, Miss. Heaton Research 2005 XXX, S. 31 - 376 Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Java (Computer program language) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Java Programmiersprache (DE-588)4401313-9 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s Java Programmiersprache (DE-588)4401313-9 s DE-604 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014998537&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Heaton, Jeff Introduction to neural networks with Java Java (Computer program language) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Java Programmiersprache (DE-588)4401313-9 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4401313-9 |
title | Introduction to neural networks with Java |
title_auth | Introduction to neural networks with Java |
title_exact_search | Introduction to neural networks with Java |
title_exact_search_txtP | Introduction to neural networks with Java |
title_full | Introduction to neural networks with Java by Jeff Heaton |
title_fullStr | Introduction to neural networks with Java by Jeff Heaton |
title_full_unstemmed | Introduction to neural networks with Java by Jeff Heaton |
title_short | Introduction to neural networks with Java |
title_sort | introduction to neural networks with java |
topic | Java (Computer program language) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Java Programmiersprache (DE-588)4401313-9 gnd |
topic_facet | Java (Computer program language) Neural networks (Computer science) Neuronales Netz Java Programmiersprache |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014998537&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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