Neural Filters: MLP VIS-A-VIS RBF Network
نویسنده
چکیده
Filtering of signals is of primary importance in signal processing. The design of filters to perform signal estimation is a problem that freeze up in the design of communication systems, control systems, in geophysics & in many other applications & disciplines. Optimum filters are proposed for filtering. In this paper, neural networks have been trained to filter satisfactorily with specified MSE criterion. It is found that neural networks such as multiplayer perceptron and RBF network comprising of three hidden layers with a linear transfer function elegantly filters various signals under consideration. Key-Words:Feed-forward Neural Network, RLS, MSE, MLP, RBF.
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