Title :
Fuzzy self-organizing map: mechanism and convergence
Author :
Sum, John ; Chan, Lai-Wan
Author_Institution :
Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper presents the learning mechanism of a model of fuzzy neural network, fuzzy self-organizing map (FSOM). The analysis on the convergence of learning mechanism will be elucidated. When the dimension of input data is one, we can prove that the convergence of the learning mechanism is almost sure. While the input data dimension is higher than one, the mechanism fulfils only the necessary condition for convergence. Simulation result will be given to illustrate the model
Keywords :
convergence; fuzzy neural nets; learning (artificial intelligence); self-organising feature maps; FSOM; convergence; fuzzy neural network; fuzzy self-organizing map; learning mechanism; Clustering algorithms; Computer science; Convergence; Equations; Fuzzy neural networks; Learning systems; Nearest neighbor searches; Quantization; Resumes; Stochastic processes;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374408
