NDLI: Probabilistic universal learning network

Content Provider	IEEE Xplore Digital Library
Author	Hirasawa, K. Ohbayashi, M. Murata, J.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Kyushu Univ., Fukuoka, Japan (Hirasawa, K.)
Abstract	Universal learning network (ULN) is a framework for the modelling and control of nonlinear large-scale complex systems such as physical, social and economical systems. A generalized learning algorithm has been proposed for ULN, which can be used in a unified manner for almost all kinds of networks such as static/dynamic networks, layered/recurrent type networks, time delay neural networks and multibranch networks. But, as the signals transmitted through the ULN should be deterministic, the stochastic signals which are contaminated with noise can not be propagated through the ULN. In this paper, Probabilistic Universal Learning Network (PrULN) is presented, where a new learning algorithm to optimize the criterion function is defined on the stochastic dynamic systems. By using PrULN, the following are expected:(1) the generalization capability of the learning networks will be improved, (2) more sophisticated stochastic control will be obtained than the conventional stochastic control, (3) designing problems for the complex systems such as chaotic systems are expected to develop, whereas now the main research topics for the chaotic systems are only the analysis of the systems.
Starting Page	917
Ending Page	922
File Size	408801
Page Count	6
File Format	PDF
ISBN	0780340531
ISSN	1062922X
DOI	10.1109/ICSMC.1997.626220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic systems Chaos Nonlinear control systems Control systems Neural networks Large-scale systems Recurrent neural networks Stochastic processes Stochastic resonance Delay effects
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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