Application of Nerual Network in the Prediction of Self-Oscillations and Signal Stabilization in Non-Linear Multivariable Systems

Patra, K.C.*; Swain, Anjan Kumar

dc.contributor.author	Patra, K.C.*
dc.contributor.author	Swain, Anjan Kumar
dc.date.accessioned	2015-03-19T09:11:11Z
dc.date.available	2015-03-19T09:11:11Z
dc.date.issued	1993-12-03
dc.identifier.uri	http://hdl.handle.net/2259/247
dc.description	* External Author Australian and New Zealand conference on Intelligent Information Systems, Perth, Western Australia, 1993, December 1-3	en_US
dc.description.abstract	In this paper attention is directed to the systematic development of possible structure of nonlinear multivariable system for the prediction of self-oscilations and signal stabilization. The generalization of the technique along with the application of Neural Network provides explicit and novel insight into the problem of greater complexity. The technique so developed has been illustrated through example and its accuracy has been substaintiated comparing with the result from digital simulation.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Neural Networks	en_US
dc.subject	Signal Stabilization	en_US
dc.subject	Non-Linear Multivariate Systems	en_US
dc.subject	Digital Simulation	en_US
dc.title	Application of Nerual Network in the Prediction of Self-Oscillations and Signal Stabilization in Non-Linear Multivariable Systems	en_US
dc.type	Other	en_US