Principles Of Artificial Neural Networks (3rd Edition)
Author:   Daniel Graupe (-)
Publisher:   World Scientific Publishing Co Pte Ltd
Edition:   3rd Revised edition
Volume:   7
ISBN:  

9789814522731


Pages:   384
Publication Date:   18 September 2013
Format:   Hardback
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.

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Principles Of Artificial Neural Networks (3rd Edition)


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Overview

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Full Product Details

Author:   Daniel Graupe (-)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Edition:   3rd Revised edition
Volume:   7
Dimensions:   Width: 17.30cm , Height: 2.30cm , Length: 24.90cm
Weight:   0.794kg
ISBN:  

9789814522731


ISBN 10:   9814522732
Pages:   384
Publication Date:   18 September 2013
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
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 and Role of Artificial Neural Networks; Fundamentals of Biological Neural Networks; Basic Principles of ANNs and Their Early Structures; The Perceptron; The Madaline; Back Propagation; Hopfield Networks; Counter Propagation; Large Scale Memory Storage and Retrieval (LAMSTAR) Network; Adaptive Resonance Theory; The Cognitron and the Neocognitron; Statistical Training; Recurrent (Time Cycling) Back Propagation Networks.

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