Adaptive prediction using fuzzy systems and neural networks

被引：0
|
作者：
Spooner, JT
Passino, KM
机构：
来源：
PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A collection of adaptive prediction schemes which use the functional approximation properties of fuzzy systems is presented. Both direct and indirect approaches are developed using gradient and least squares update laws. It is proven that the prediction error converges asymptotically to zero for each case provided some minor assumptions hold.
引用
收藏
页码：1266 / 1270
页数：5
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