Artificial Neural Network Training & Software Implementation Techniques
Author:   Ali Kattan ,  Rosni Abdullah ,  Zong Woo Geem
Publisher:   Nova Science Publishers Inc
ISBN:  

9781611229905


Pages:   58
Publication Date:   14 June 2011
Format:   Paperback
Availability:   In Print   Availability explained
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Artificial Neural Network Training & Software Implementation Techniques


Overview

Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used for their implementations, the choice of a specific implementation is subjected to different factors including cost, accuracy, processing speed and overall performance. Featured with synaptic plasticity, the process of training is concerned with adjusting the individual weights between each of the individual ANN neurons until we can achieve close to the desired output. This book introduces the common trajectory-driven and evolutionary-based ANN training algorithms.

Full Product Details

Author:   Ali Kattan ,  Rosni Abdullah ,  Zong Woo Geem
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Weight:   0.108kg
ISBN:  

9781611229905


ISBN 10:   1611229901
Pages:   58
Publication Date:   14 June 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction; Feed-Forward Neural Networks; FFANN Software Simulation; FFANN Training Concept; Trajectory-Driven Training Paradigm; Evolutionary-Based Training Paradigm; FFANN Simulation Utilizing Graphic-Processing Units; Conclusion; Index.

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