memory-based networks one-pass learning Fuzzy Inference Systems fuzzy-basis membership functions neurons at data points nonlinear identification
Issue Date:
2008
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
General Regression Neuro-Fuzzy Network, which combines the properties of conventional General
Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this work. This
network relates to so-called “memory-based networks”, which is adjusted by one-pass learning algorithm.
