Identification of a nonlinear multivariable dynamic process using feed-forward networks

Can Isik; A. Mete Çakmakci

doi:10.1109/ICNN.1993.298619

Identification of a nonlinear multivariable dynamic process using feed-forward networks

Can Isik, A. Mete Çakmakci

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

1 Scopus citations

Abstract

The practical aspects of identifying a nonlinear multi-input multi-output dynamic system using feed-forward neural networks (NN) is the subject of this paper. By utilising the measurements of 25 input and internal variables of the process, the primary process output is estimated with a network that has one hidden layer and partial connectivity. Two different connectivity patterns are compared, and problems encountered during the development are summarised. The accuracy of the estimate is demonstrated by comparing the NN output with the process output in time domain and frequency domain.

Original language	English (US)
Title of host publication	IEEE International Conference on Neural Networks - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	564-567
Number of pages	4
Volume	1993-January
ISBN (Print)	0780309995
DOIs	https://doi.org/10.1109/ICNN.1993.298619
State	Published - 1993
Event	IEEE International Conference on Neural Networks, ICNN 1993 - San Francisco, United States Duration: Mar 28 1993 → Apr 1 1993

Other

Other	IEEE International Conference on Neural Networks, ICNN 1993
Country/Territory	United States
City	San Francisco
Period	3/28/93 → 4/1/93

ASJC Scopus subject areas

Control and Systems Engineering
Software
Artificial Intelligence

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10.1109/ICNN.1993.298619

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Isik, C & Çakmakci, AM 1993, Identification of a nonlinear multivariable dynamic process using feed-forward networks. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 1993-January, 298619, Institute of Electrical and Electronics Engineers Inc., pp. 564-567, IEEE International Conference on Neural Networks, ICNN 1993, San Francisco, United States, 3/28/93. https://doi.org/10.1109/ICNN.1993.298619

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ER -

Identification of a nonlinear multivariable dynamic process using feed-forward networks

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