Iterative genetic-fuzzy learning for plant automation
Willie Ng · DR-NTU (Nanyang Technological University) · 2004
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.