A hybrid neural network model for rule generation and its application to process fault detection and diagnosis
In this paper, a hybrid neural network model, based on the integration of fuzzy ARTMAP (FAM) and the rectangular basis function network (RecBFN), which is capable of learning and revealing fuzzy rules is proposed. The hybrid network is able to classify data samples incrementally and, at the same tim...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2007
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3100/ |