Time series analysis using RBF networks with FIR/IIR synapses
نویسنده
چکیده
Radial basis functions networks (RBF) with dynamic synapses are introduced. The novelty aspect consists in replacing the standard scalar values of the output weights by discrete-time FIR/IIR filters. LMS-type learning algorithms are derived and simulation results for prediction of chaotic time series are reported. ( 1998 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 20 شماره
صفحات -
تاریخ انتشار 1998