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Why the fuss about neural networks?

Show simple item record Barth, G 2018-05-19T00:35:52Z 2018-05-19T00:35:52Z 1991
dc.identifier.citation Barth G (1991) Why the fuss about neural networks? South African Computer Journal, Number 5, 1991 en
dc.identifier.issn 2313-7835
dc.description.abstract Currently, there is a certain hype about issues related to neural networks. This is somewhat surprising since the origins of neural nets date back some 40 years. At that time, several researchers experimented with distributed systems composed of so-called perceptrons. Problems tackled therewith included computer vision, weather prediction, speech recognition, cardiographic diagnosis and image classification. Chapter 2 of reference [1] contains more details. This short contribution is intended to summarize in a very succinct way the main characteristics of neural nets as currently used. In particular, the two dominating training paradigms are briefly described. An attempt is made to sketch some guidelines as to what kinds of problems are good candidates for being tackled by neural networks. en
dc.language en
dc.language.iso en en
dc.publisher South African Institute of Computer Scientists and Information Technologists en
dc.title Why the fuss about neural networks? en
dc.type Article en

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