Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
Abstract:
Describes a type of fuzzy system with interpolating capability to extract MISO fuzzy rules from input-output sample data through learning. The proposed model inherits many merits from Sugeno-type models and their variations. A heuristic error-feedback learning algorithm associated with the model is suggested. Based on which, the estimator is shown to have a self-adjusting step when approaching a minimum
Relation:
IEEE transactions on systems, man and cybernetics, Part A 29(6), pp.686-691