๐”– Bobbio Scriptorium
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Non-linear system identification using neural networks

โœ Scribed by CHEN, S.; BILLINGS, S. A.; GRANT, P. M.

Book ID
119982096
Publisher
Taylor and Francis Group
Year
1990
Tongue
English
Weight
578 KB
Volume
51
Category
Article
ISSN
0020-7179

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โœฆ Synopsis

Multi-layered neuralnetworks offer an exciting alternative for modelling complex non-linear systems. This paper investigates the identification of discrete-time nonlinear systems using neural networks with a single hidden layer. New parameter estimationalgorithms are derived for the neural network model based on a prediction error formulation and the application to both simulated and real data is included to demonstrate the effectiveness of the neural network approach.

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