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Artificial neural network training and software implementation techniques

Artificial neural network training and software implementation techniques
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10022757 Access this eBook online Ebook for Applied Information Technology   GUtech Library . . Available .  
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ISBN 9781622571031
9781611229905
Author Kattan, Ali
Title Artificial neural network training and software implementation techniques
Description 1 online resource (68 pages)
Contents ARTIFICIAL NEURAL NETWORK TRAINING AND SOFTWARE IMPLEMENTATION TECHNIQUES -- ARTIFICIAL NEURAL NETWORK TRAINING AND SOFTWARE IMPLEMENTATION TECHNIQUES -- LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA -- CONTENTS -- PREFACE -- Chapter 1: INTRODUCTION -- Chapter 2: FEED-FORWARD NEURAL NETWORKS -- 2.1. TOPOLOGY -- 2.2. FUNCTIONALITY, PATTERN-RECOGNITION & FORECASTING -- 2.3. REPRESENTATION -- Chapter 3: FFANN SOFTWARE SIMULATION -- 3.1. SEQUENTIAL SOFTWARE SIMULATION -- 3.2. PARALLEL SOFTWARE SIMULATION -- Chapter 4: FFANN TRAINING CONCEPT -- 4.1. TRAINING DATA PREPARATIONS -- 4.2. ERROR CALCULATIONS -- 4.3. TERMINATION CONDITIONS -- Chapter 5: TRAJECTORY-DRIVEN TRAINING PARADIGM -- 5.1. BACKPROPAGATION TRAINING -- 5.2. OTHER COMMON TRAJECTORY-DRIVEN TRAINING METHODS -- Chapter 6: EVOLUTIONARY-BASED TRAINING PARADIGM -- 6.1. GENETIC-ALGORITHM BASEDTRAINING METHODS -- 6.2. OTHER COMMON EVOLUTIONARY-BASED TRAINING METHODS -- Chapter 7: FFANN SIMULATION UTILIZING GRAPHIC-PROCESSING UNITS -- 7.1. GPU PROGRAMMING PARADIGMS -- 7.2. ANN GPU-BASED SIMULATION TECHNIQUES -- Chapter 8: CONCLUSION -- REFERENCES -- INDEX -- Blank Page.
Subject Neural networks (Computer science)
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Other name(s) Abdullah, Rosni
Geem, Zong Woo
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