Title :
Automatic tuning method of membership functions in simulation of driving control of a model car
Author :
Nishimori, Katsumi ; Hirakawa, Susumu ; FujiMura, Kikuo ; Tokutaka, Heizo ; Kishida, Satoru ; Hiraga, Hirohito ; Ishihara, Naganori
Author_Institution :
Dept. of Electr. & Electron. Eng., Tottori Univ., Japan
Abstract :
We carry out the tuning of the membership functions using the learning procedure for studying neural networks. The tuning method is applied to the simulation of driving control of a model car. The 3×3 (=9) control rules work well for the driving simulation of the car to run on a straight road. There are some rules which are hardly used when the number of the rules increases up to 7×7 (=49). After tuning of membership functions, the simulation results give similar trajectories of the car in both 3×3 and 7×7 type rules.
Keywords :
automobiles; fuzzy control; fuzzy neural nets; learning (artificial intelligence); navigation; tuning; 3×3 control rule; 7×7 control rule; automatic tuning; driving control; learning procedure; membership function tuning; model car; neural networks; simulation; Automatic control; Equations; Fuzzy control; Gravity; Kinetic theory; Neural networks; Optimization methods; Production; Roads; Wheels;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714338
