Neural Network Engineering in Dynamic Control Systems: Advances in Industrial Control by Kenneth J. Hunt, George Irwin |, Hardcover | Barnes & Noble
Neural Network Engineering in Dynamic Control Systems: Advances in Industrial Control

Neural Network Engineering in Dynamic Control Systems: Advances in Industrial Control

by Kenneth J. Hunt, George Irwin
     
 

This study evaluates the state of the art in the area of neural networks from the engineering perspective. The contributions examine ways of improving the engineering involved in neural network modelling and control, so that the theoretical power of learning systems can be harnessed for practical applications. Neural Network Engineering in Dynamic Control

Overview

This study evaluates the state of the art in the area of neural networks from the engineering perspective. The contributions examine ways of improving the engineering involved in neural network modelling and control, so that the theoretical power of learning systems can be harnessed for practical applications. Neural Network Engineering in Dynamic Control Systems seeks to provide answers to the following questions:
• Which network architecture for which application?
• Can constructive learning algorithms capture the underlying dynamics while avoiding overfitting?
• How can we introduce a priori knowledge or models into neural networks?
• Can experimental design and active learning be used automatically to create "optimal" training sets?
• How can we validate a neural network model?

Product Details

ISBN-13:
9783540199731
Publisher:
Springer London
Publication date:
11/25/1996
Series:
Advances in Industrial Control Series
Edition description:
1st Edition.
Pages:
278
Product dimensions:
6.10(w) x 9.25(h) x (d)

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