DocumentCode :
3191512
Title :
A hierarchical Bayes approach to nonlinear time series prediction with neural nets
Author :
Matsumoto, T. ; Hamagishi, H. ; Chonan, Y.
Author_Institution :
Dept. of Electr., Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
Volume :
4
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
2028
Abstract :
An attempt is made to solve a class of nonlinear time series prediction problems with a hierarchical Bayes approach using neural nets
Keywords :
Bayes methods; neural nets; nonlinear systems; prediction theory; time series; hierarchical Bayes approach; neural nets; nonlinear time series prediction; Chaos; Delay systems; Distributed computing; Erbium; Neural networks; Nonlinear dynamical systems; Nonlinear equations; Orbits; Uncertainty; Yttrium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
Type :
conf
DOI :
10.1109/ICNN.1997.614213
Filename :
614213
Link To Document :
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