Practical neural networks in a computer control package
Practical neural networks in a computer control package
- Author(s): G. Edge ; C. Kambhampati ; D. Sandoz ; K. Warwick
- DOI: 10.1049/ic:19951181
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- Author(s): G. Edge ; C. Kambhampati ; D. Sandoz ; K. Warwick Source: IEE Colloquium on Adaptive Controllers in Practice, 1995 page ()
- Conference: IEE Colloquium on Adaptive Controllers in Practice
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This paper deals with the integration of radial basis function (RBF) networks into the industrial software control package Connoisseur. The paper shows the improved modelling capabilities offered by RBF networks within the Connoisseur environment compared to linear modelling techniques such as recursive least squares. The paper also goes on to mention the way this improved modelling capability, obtained through the RBF networks will be utilised within Connoisseur. (2 pages)
Inspec keywords: neurocontrollers; feedforward neural nets; intelligent control; software packages; industrial control
Subjects: Expert systems and other AI software and techniques; Industrial applications of IT; Control in industrial production systems; Neural nets (theory); Control technology and theory (production); Neurocontrol; Control engineering computing
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