Title :
A heuristic error-feedback learning algorithm for fuzzy modeling
Author :
Lo, Ji-Chang ; Yang, Chien-Hsing
Author_Institution :
Dept. of Mech. Eng., Nat. Central Univ., Chung-Li, Taiwan
fDate :
11/1/1999 12:00:00 AM
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
Keywords :
fuzzy set theory; fuzzy systems; learning (artificial intelligence); modelling; parameter estimation; MISO fuzzy rules; Sugeno-type models; fuzzy modeling; heuristic error-feedback learning algorithm; input-output sample data; Automatic control; Calculus; Control systems; Extrapolation; Fuzzy systems; Helicopters; Heuristic algorithms; Humans; Stochastic processes; Target tracking;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.798075
