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Armitage, Alistair (1995) Neural networks in measurement and control. Measurement + Control, 28 (7). pp. 208-215. ISSN 00202940
Full text not available from this repository. (Request a copy)Abstract/Description
A brief overview of neural network is presented. Neural networks have certainly made an impact, and it is now at the stage of getting past the initial hype to see the sort of tasks that neural network are really suited to. There is no doubt that neural networks can solve many problems, but there is also little doubt that there are large number of relatively straightforward problems for which neural network are really are overkill.
| Item Type: | Article |
|---|---|
| Print ISSN: | 00202940 |
| Uncontrolled Keywords: | neural networks; measurement; control; Hopfield network; multilayer perception; processing elements; radial basis functions; sigmoid function; supervised learning; threshold function; |
| University Divisions/Research Centres: | Faculty of Engineering, Computing and Creative Industries > School of Computing |
| Dewey Decimal Subjects: | 600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering > 621.38 Electronics & Communications engineering > 621.382 Communications engineering > 621.3822 Signal processing |
| Library of Congress Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Item ID: | 3209 |
| Depositing User: | Computing Research |
| Date Deposited: | 29 Jul 2010 15:39 |
| Last Modified: | 29 Jul 2010 15:39 |
| URI: | http://researchrepository.napier.ac.uk/id/eprint/3209 |
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