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Dynamic Systems in Neural Networks

  • Kevin Warwick
  • Chandrasekhar Kambhampati
  • Patrick Parks
  • Julian Mason
Chapter
Part of the Advances in Industrial Control book series (AIC)

Abstract

Many schemes for the employment of neural networks in control systems have been proposed [9] and some practical applications have also been made [2]. It is possible to apply a neural network to just about every conceivable control problem, however in many cases, although of interest, the network might not be the best or even a good solution, due to its relatively complex nonlinear operation. A neural network is in essence a nonlinear mapping device and in this respect, at the present time, most of the reported work describing the use of neural networks in a control environment is concerned solely with the problem of process modelling or system identification.

Keywords

Neural Network Radial Basis Function Radial Basis Function Network Recursive Little Square Thin Plate Spline 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • Kevin Warwick
    • 1
  • Chandrasekhar Kambhampati
    • 1
  • Patrick Parks
    • 2
  • Julian Mason
    • 1
  1. 1.Department of CyberneticsUniversity of ReadingReadingUK
  2. 2.Mathematical InstituteUniversity of OxfordOxfordUK

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