Iterative genetic-fuzzy learning for plant automation
A methodology of learning fuzzy rules using a genetic algorithm (GA). Through observations on a series of control actions from an expert, we aim to let the system derive a control model to emulate the expert's decision-making process in monitoring a plant.
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/4971 |
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| Institution: | Nanyang Technological University |