From data-to dynamics: Predicting chaotic time series by hierarchical Bayesian neural nets

被引：0

作者：

Matsumoto, T ^{[1
]}

Hamagishi, H ^{[1
]}

Sugi, J ^{[1
]}

Saito, M ^{[1
]}

机构：

[1] Waseda Univ, Dept Elect Engn & Comp Engn, Shinjuku Ku, Tokyo 1698555, Japan

来源：

IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE | 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 estimate chaotic dynamical systems.

引用

页码：2535 / 2540

页数：6

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