Title :
A fuzzy neural network based on hierarchical space partitioning
Author :
Kwong Chak, Chu ; Feng, Gang ; Palaniswami, Marimuthu
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Vic., Australia
Abstract :
A self-organized and adaptive fuzzy system implemented in the framework of sigmoid function neural networks is proposed. The proposed fuzzy neural network adopts the hierarchical space partitioning method so that it can generate its rules and optimize its membership functions by its hybrid algorithm. Simulation is presented to demonstrate the performance of the proposed scheme
Keywords :
adaptive systems; fuzzy neural nets; fuzzy systems; learning (artificial intelligence); logic partitioning; neural net architecture; adaptive fuzzy system; architecture; fuzzy neural network; hierarchical space partitioning; learning algorithm; membership functions; self-organized systems; sigmoid function neural networks; Adaptive systems; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hybrid power systems; Neural networks; Neurons; Optimization methods; Partitioning algorithms; Takagi-Sugeno model;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611704
