Advanced
search

To read this content please select one of the options below:

Neural networks: friends or foes?

Stephen J. Roberts (Lecturer and Will Penny is a Research Fellow at the Department of Electrical and Electronic Engineering, Imperial College, University of London, London, UK. Tel: 0171 594 6230; Fax: 0171 823 8125. E‐mail: s.j.roberts@ic.ac.uk)
Will Penny (Research Fellow at the Department of Electrical and Electronic Engineering, Imperial College, University of London, London, UK. Tel: 0171 594 6230; Fax: 0171 823 8125. E‐mail: s.j.roberts@ic.ac.uk)

Sensor Review

ISSN: 0260-2288

Article publication date: 1 March 1997

444

Abstract

There has been enormous interest over the past decade in the use of artificial neural networks (ANNs) for data processing applications. By and large, this interest has been well‐founded. ANNs, however, offer no panacea to the data analyst. They are as prone to misuse as any other method and the details of their functioning are often clouded in mystique. This has made a firm understanding of their functioning difficult. Presents a brief introduction to the most widely applied class of ANN, the feed‐forward network. Gives an overview of its functioning for both classification and regression problems.

Keywords

Citation

Roberts, S.J. and Penny, W. (1997), "Neural networks: friends or foes?", Sensor Review, Vol. 17 No. 1, pp. 64-70. https://doi.org/10.1108/02602289710163382

Publisher

:

MCB UP Ltd

Copyright © 1997, MCB UP Limited

Related articles

Manage cookies

We’re listening — tell us what you think

Join us on our journey