Author(s): Khondker Masoodulhassan; Geoffrey Wilson
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Keywords: No Keywords
Abstract: Two applications, using techniques associated with artificial intelligence, are presented for control strategy selection in multi-objective water resource systems operated in real time. The first demonstrates the use of an artificial neural network in replicating optimised gate setting patterns in a large flood control scheme. The second shows that a classifier system is capable of rule base learning for the control of an urban drainage system.
Year: 1995