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Title: Iterative genetic-fuzzy learning for plant automation
Authors: Ng, Wil Lie.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2004
Abstract: 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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