Practical neural networks in a computer control packageEdge, G., Kambhampati, C., Sandoz, D. and Warwick, K. (1995) Practical neural networks in a computer control package. In: IEE Colloquium on Adaptive Controllers in Practice, 02 Nov 1995, London, 8/1-8/2, https://doi.org/10.1049/ic:19951181. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1049/ic:19951181 Abstract/SummaryThis 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.
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