APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM | ||||
| ERJ. Engineering Research Journal | ||||
| Article 8, Volume 23, Issue 4, October 2000, Page 107-118 PDF (249.58 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2000.71224 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| E.S. Abdin; T.A. Mohammed | ||||
| Electrical Engineering Dept., Faculty of Engineering, Minufiya University, Shebin El-Kom, Egypt | ||||
| Abstract | ||||
| The paper describes the application of artificial neural networks for identification using experimental data of a computer controlled micro-alternator system. Mathematical algorithms are described in detail and associated architectures of analog artificial neural networks are presented. The accuracy of the identified model is assessed by direct comparison between micro-alternator outputs and neural network identified model outputs. | ||||
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