Additive Gaussian Membership Functions in Fuzzy Neural Network
碩士 === 國立交通大學 === 電機與控制工程系 === 88 === In this thesis, a new method to tune the membership functions of fuzzy neural network (FNN) is presented. First we study the FNN it inherits the property of both fuzzy inference system and neural network. Then we present that any gaussian function can...
Main Authors: | Lin,Rui-Jie, 林瑞杰 |
---|---|
Other Authors: | Teng,Ching-Cheng |
Format: | Others |
Language: | zh-TW |
Published: |
1999
|
Online Access: | http://ndltd.ncl.edu.tw/handle/55615490855259126785 |
Similar Items
Similar Items
-
Additive Gaussian Membership Functions in Fuzzy Neural Network
by: Rui-Jie Lin, et al.
Published: (1999) -
Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform
Published: (2018-06-01) -
Designing Gaussian Membership Functions for Fuzzy Classifier Generated by Heuristic Possibilistic Clustering
by: Dmitri Arkady Viattchenin, et al.
Published: (2013-12-01) -
Fuzzy Number Addition with the Application of Horizontal Membership Functions
by: Andrzej Piegat, et al.
Published: (2015-01-01) -
On the Fuzzy Neural Network with Block Pulse Membership Functions (BPMF's) with its Applications
by: Jung-Sheng Wen, et al.
Published: (2008)