Dynamic controller based on Ying Learning Algorithm for Medical Temperature System

被引：0
|
作者：
Zhang Ping [1 ]
Hao Xiaohong [1 ]
Li Hengjie [1 ]
机构：
[1] Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
来源：
SPORTS MATERIALS, MODELLING AND SIMULATION | 2011年 / 187卷
关键词：
K-VNN; nonlinear system; dynamic fuzzy neural network; Ying learning algorithm;
D O I：
10.4028/www.scientific.net/AMR.187.371
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. Ying Learning Dynamic Fuzzy Neural Network (YL-DFNN) algorithm is proposed. The Learning Set based on K-VNN is constituted from message. Then the framework of is designed and its stability is proved. Finally, Simulation indicates that the novel algorithm is fast, compact, and capable in generalization.
引用
收藏
页码：371 / 376
页数：6
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