Title :
Fuzzy CMAC and its application
Author :
Zhang, Kai ; Qian, Feng
Author_Institution :
Inst. of Autom. Control, East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
The cerebellar model articulation controller (CMAC) is a local neural network, which has an attractive property of learning speed. However, its rigid structure makes it difficult to approximate certain functions and apply it to industrial processes. In the paper, we first propose the fuzzy CMAC (FCMAC), which uses the fuzzy weights, and the mapping algorithm and learning algorithm are presented. The numerical example and industrial application results show that the FCMAC neural network proposed in the paper is satisfied and feasible
Keywords :
cerebellar model arithmetic computers; content-addressable storage; distillation; feedforward neural nets; fuzzy neural nets; learning (artificial intelligence); cerebellar model articulation controller; fuzzy CMAC; fuzzy weights; industrial processes; learning algorithm; learning speed; local neural network; mapping algorithm; Automatic control; Feedforward neural networks; Hypercubes; Mathematical model; Mathematics; Neural networks; Robot control; Spline; Vectors;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863372
