Fast learning artificial neural networks for continuous input applications
D.J. Evans
(Parallel Algorithms Research Centre, Loughborough University of Technology, UK)
L.P. Tay
(Parallel Algorithms Research Centre, Loughborough University of Technology, UK)
259
Abstract
A fast learning artificial neural network model (FLANN II) is developed to solve problems in the area of pattern classification for continuous input values. The operational aspects of the neural network are illustrated by two process control diagnostic problems.
Keywords
Citation
Evans, D.J. and Tay, L.P. (1995), "Fast learning artificial neural networks for continuous input applications", Kybernetes, Vol. 24 No. 3, pp. 11-23. https://doi.org/10.1108/03684929510087242
Publisher
:MCB UP Ltd
Copyright © 1995, MCB UP Limited