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.
Abdin, E., & Mohammed, T. (2000). APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM. ERJ. Engineering Research Journal, 23(4), 107-118. doi: 10.21608/erjm.2000.71224
MLA
E.S. Abdin; T.A. Mohammed. "APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM", ERJ. Engineering Research Journal, 23, 4, 2000, 107-118. doi: 10.21608/erjm.2000.71224
HARVARD
Abdin, E., Mohammed, T. (2000). 'APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM', ERJ. Engineering Research Journal, 23(4), pp. 107-118. doi: 10.21608/erjm.2000.71224
VANCOUVER
Abdin, E., Mohammed, T. APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM. ERJ. Engineering Research Journal, 2000; 23(4): 107-118. doi: 10.21608/erjm.2000.71224
)
View on SCiNiTO