Integration of neural network algorithms, nonlinear dynamics models, and fuzzy logic methods in prediction problems

被引：0
|
作者：
Borisov, P. A. [1 ]
Vinogradov, G. P. [1 ]
Semenov, N. A. [1 ]
机构：
[1] Tver State Univ, Tver 170013, Russia
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 2008年 / 47卷 / 01期
关键词：
System Science International; Neural Network Algorithm; Hybrid Network; Nonlinear Regression Model; Fuzzy Inference Engine;
D O I：
10.1134/S1064230708010097
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The problem of designing the architecture of a fuzzy hybrid system that allows one to solve the online prediction problem in conditions of strongly grouped and irregularly distributed data is considered. It is shown that parallel updating of premises and conclusions in the knowledge base hastens learning and improves the operating quality of the system.
引用
收藏
页码：72 / 77
页数：6
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