A manuscript of a paper published in Proceedings of the 8th Int. Conf. Signal Processing and Applications Technology, San Diego CA, September 1997, pp. 1460-1464
نویسندگان
چکیده
The concept of using ANN-like approximators for estimation of dynamic system parameters is considered. It is shown that the modular, classifier-approximator architecture offers new possibilities of realtime observation point selection for optimal ANN performance in terms of minimum parameter variance.
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