A complex-valued neuro-fuzzy inference system and its learning mechanism
In this paper, we present a Complex-valued Neuro-Fuzzy Inference System (CNFIS) and develop its meta-cognitive learning algorithm. CNFIS has four layers-an input layer with m rules, a Gaussian layer with K rules, a normalization layer with K rules and an output layer with n rules. The rules in the G...
Saved in:
Main Authors: | , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2014
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/102605 http://hdl.handle.net/10220/18958 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |