On the Fuzzy Neural Network with Block Pulse Membership Functions (BPMF's) with its Applications
博士 === 國立交通大學 === 電機與控制工程系所 === 96 === This thesis presents an alternative method to design Fuzzy Neural Network (FNN) using a set of non-overlapped block pulse membership functions (BMPF's), and this FNN with non-overlapped BPMF's will be shown to be equivalent to the conventional Table L...
Main Authors: | Jung-Sheng Wen, 文榮生 |
---|---|
Other Authors: | Chi-Hsu Wang |
Format: | Others |
Language: | en_US |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/09029167091466163881 |
Similar Items
-
Additive Gaussian Membership Functions in Fuzzy Neural Network
by: Rui-Jie Lin, et al.
Published: (1999) -
Additive Gaussian Membership Functions in Fuzzy Neural Network
by: Lin,Rui-Jie, et al.
Published: (1999) -
Type-2 Fuzzy Neural Network with Asymmetric Membership Functions Analysis and Its Applications
by: Hung-Yi Pan, et al.
Published: (2006) -
A Fault Prediction Model of Adaptive Fuzzy Neural Network for Optimal Membership Function
by: Baoshan Zhang, et al.
Published: (2020-01-01) -
Intelligent PV Power Smoothing Control Using Probabilistic Fuzzy Neural Network with Asymmetric Membership Function
by: Faa-Jeng Lin, et al.
Published: (2017-01-01)