FUZZY INFERENCE SYSTEMS AND ARTIFICIAL NEURAL NETWORKS FOR CONTINUOUSPIECEWISE MULTILINEAR INTERPOLATION

Formulas are presented for structures for fuzzy inference systems and artificial neural networks whose output functions are equivalent to ea ch other and to using continuous piecewise multilinearisation for inte rpolation on a regular grid. This result leads to alternative interpre tations, initialisation methods, and implementations of the networks.