Part of Advances in Neural Information Processing Systems 5 (NIPS 1992)
Charles Higgins, Rodney Goodman
A three-step method for function approximation with a fuzzy sys(cid:173) tem is proposed. First, the membership functions and an initial rule representation are learned; second, the rules are compressed as much as possible using information theory; and finally, a com(cid:173) putational network is constructed to compute the function value. This system is applied to two control examples: learning the truck and trailer backer-upper control system, and learning a cruise con(cid:173) trol system for a radio-controlled model car.