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Integrated Structure and Parameter Selection for Eng-genes Neural Models

  • Patrick Connally
  • Kang Li
  • George W. Irwin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

A new approach to the construction and optimisation of ‘eng-genes’ grey-box neural networks is investigated. A forward selection algorithm is used to optimise both the network weights and biases and the parameters of the system-derived activation functions. The algorithm is used for both conventional neural network and eng-genes modelling of a simulated Continuously Stirred Tank Reactor. The resulting eng-genes networks demonstrate superior simulation performance and transparency over a range of network sizes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Patrick Connally
    • 1
  • Kang Li
    • 1
  • George W. Irwin
    • 1
  1. 1.Intelligent Systems and Control Research GroupQueen’s University BelfastBelfastUK

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