General Regression Neuro–Fuzzy Network for Identification of Nonstationary Plants
| Data(s) |
10/04/2009
03/09/2009
10/04/2009
03/09/2009
2008
|
|---|---|
| Resumo |
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. |
| Identificador |
1313-048X |
| Idioma(s) |
en |
| Publicador |
Institute of Information Theories and Applications FOI ITHEA |
| Palavras-Chave | #memory-based networks #one-pass learning #Fuzzy Inference Systems #fuzzy-basis membership functions #neurons at data points #nonlinear identification |
| Tipo |
Article |
