Title :
A comparative study of different methods for realizing DFNN algorithm
Author :
Er, Meng Joo ; Wong, Wai Mun ; Wu, Shiqian
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
Presents a comparative study of different methods for realizing the basic learning algorithm of dynamic fuzzy neural networks (DFNNs). Performances of the least squared estimation, Kalman filter and extended Kalman filter methods used for weight adjustment in the basic learning algorithm of DFNNs in terms of learning speed, neuron requirement, approximation accuracy and noise immunity are evaluated and compared
Keywords :
Kalman filters; filtering theory; fuzzy neural nets; learning (artificial intelligence); least squares approximations; nonlinear filters; parameter estimation; approximation accuracy; basic learning algorithm; dynamic fuzzy neural networks; extended Kalman filter; learning speed; least squared estimation; neuron requirement; noise immunity; weight adjustment; Approximation algorithms; Covariance matrix; Erbium; Fuzzy logic; Fuzzy neural networks; Heuristic algorithms; Least squares approximation; Neural networks; Neurons; Performance evaluation;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.831327
