Bibliography: leaves 179-190. / xii, 189 leaves : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This thesis proposes a genetic-programming-based classifier system for the diagnosis of coronary artery disease. Based on genetic programming, a software system called Evolutionary Pre-Processor has been developed as a new method for the automatic extraction of non-linear features for supervised classification. Two different hybrid intelligent system techniques are presented; fuzzy systems integrated with genetic algorithms and genetic algorithms combined with back-propagation algorithms. All approaches were tested on a real-world problem of coronary artery disease data. / Thesis (Ph.D.)--University of Adelaide, Dept. of Applied Mathematics, 1998
| Identifer | oai:union.ndltd.org:ADTP/260622 |
| Date | January 1998 |
| Creators | Jain, Ravi, 1967- |
| Source Sets | Australiasian Digital Theses Program |
| Language | en_US |
| Detected Language | English |
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