Chaotic time series prediction via hierarchical Bayesian neural net

被引：0
|
作者：
Matsumoto, T [1 ]
Hamagishi, H [1 ]
Sugi, J [1 ]
Saito, M [1 ]
机构：
[1] Waseda Univ, Dept Elect Elect Comp Engn, Shinjuku Ku, Tokyo 1698555, Japan
来源：
ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A hierarchical Bayesian scheme with neural nets is used to predict chaotic time series.
引用
收藏
页码：1020 / 1023
页数：4
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