The thesis is written in chapter form. Chapter 1 describes some of the history
of neural networks and its place in the field of artificial intelligence. It indicates the
biological basis from which neural network approximation are made.
Chapter 2 describes the properties of neural networks and their uses. It introduces the concepts of
training and learning.
Chapters 3, 4, 5 and 6 show the perceptron and adaline in feedforward and recurrent networks
particular reference is made to regression substitution by "group method data handling.
Networks are chosen that explain the application of neural networks in classification,
association, optimization and self organization.
Chapter 7 addresses the subject of practical inputs to neural networks. Chapter 8 reviews some
interesting recent developments.
Chapter 9 reviews some ideas on the future technology for neural networks.
Chapter 10 gives a listing of some neural network types and their uses. Appendix A gives some of
the ideas used in portfolio selection for the Johannesburg Stock Exchange. / Computing / M. Sc. (Operations Research)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/16971 |
| Date | 12 1900 |
| Creators | Howard, Beverley Robin |
| Contributors | Wolvaardt, D. E. (Dirkie Elizabeth), 1945- |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (189 leaves) |
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