Abstract
This paper considers recent developments in the techniques for evaluation, in particular those which are useful, as alternatives to complex mathematical expressions, for modelling non-trivial, non-linear relationships. Neural Networks and Expert Systems, with the ability to learn, are considered in depth and a number of practical examples are included to show the techniques in operation.
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© 1994 Springer Science+Business Media Dordrecht
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Warwick, K. (1994). Use of Neural Networks and Expert Systems for Evaluation. In: Maldague, X.P.V. (eds) Advances in Signal Processing for Nondestructive Evaluation of Materials. NATO ASI Series, vol 262. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1056-3_18
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DOI: https://doi.org/10.1007/978-94-011-1056-3_18
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4459-2
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