Identification of nonlinear dynamic processes based on dynamic radial basis function networks

被引：0
|
作者：
Ayoubi, M [1 ]
Isermann, R [1 ]
机构：
[1] TECH UNIV DARMSTADT,INST AUTOMAT CONTROL,LAB CONTROL ENGN & PROC AUTOMAT,D-64283 DARMSTADT,GERMANY
来源：
APPLICATIONS AND SCIENCE OF ARTIFICIAL NEURAL NETWORKS II | 1996年 / 2760卷
关键词：
dynamic neural networks; radial basis functions; nonlinear system identification; turbocharger modeling; diesel engine;
D O I：
10.1117/12.235971
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：302 / 309
页数：8
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