Spectrum-based Design of Sinusoidal RBF Neural Networks
نویسنده
چکیده
The paper introduces and describes the spectrum-based design of RBF neural networks. The RBF neural networks used in the paper work with damped sinusoidal nonlinear activation functions. The concept of the associated spectrum of the data is introduced and it is shown how to apply this spectrum to find the number and internal parameters of hidden neurons for a neural network solution of the related data processing problem. A time series prediction application is presented. The relation of the proposed method to the support vector machine method and the application of the method to select appropriate basis functions for a problem with given data are discussed.
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