Artificial Neural Network for Real-Time Estimation of Basic Parameter of Signals
Abstract: This paper presents for students instructions to using parallel algorithms, which can be implemented by analogue adaptive circuits employing some neural networks principles for estimation of parameters of signals in power system. Algorithms based on the standard least-squares (LS) criteria is proposed. The problem of estimation is formulated as an optimization problem and solved by using the gradient descent optimization algorithm. The corresponding architectures of analogue neuron-like adaptive processors are also shown.
Keyword(s): EEEIC ; neural network ; signal analysis
Note: Proceedings of the 7th Int. Conference EEEIC 2008, Cottbus, 5-11.05.2008, pp. 3-4
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/161/files/
Cited by: try citation search for ENY-ARTICLE-2008-123
Record created 2008-04-22, last modified 2008-05-31
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