Applications of Neural Networks
Author:   Alan Murray
Publisher:   Springer
Edition:   1995 ed.
ISBN:  

9780792394426


Pages:   322
Publication Date:   31 December 1994
Format:   Hardback
Availability:   In Print   Availability explained
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Applications of Neural Networks


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Overview

This text gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using ""Supervised Training"". Section C presents a number of examples of ""Unsupervised Training"". This book is designed for neural network enthusiasts and interested, open-minded sceptics. It leads the latter through the fundamentals into a varied series of neural success stories.

Full Product Details

Author:   Alan Murray
Publisher:   Springer
Imprint:   Springer
Edition:   1995 ed.
Dimensions:   Width: 15.60cm , Height: 1.90cm , Length: 23.40cm
Weight:   1.430kg
ISBN:  

9780792394426


ISBN 10:   0792394429
Pages:   322
Publication Date:   31 December 1994
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  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

1 Neural Architectures and Algorithms.- 2 Face Finding in Images.- 3 Sex Recognition from Faces Using Neural Networks.- 4 ANN Based Classification of Arrhythmias.- 5 Classification of Cells in Cervical Smears.- 6 Multiphase flow monitoring in oil pipelines.- 7 Electrical Load Forecasting.- 8 On the Application of Artificial Neural Networks to Process Control.- 9 Nested Networks for Robot Control.- 10 Adaptive Equalisation using Neural Networks.- 11 TD- Gammon: A Self- Teaching Backgammon Program.- 12 Temporal Difference Learning: A Chemical Process Control Application.- 13 Automated Sleep EEG Analysis using an RBF Network.

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