Use of RBF neural networks for density estimation
نویسنده
چکیده
The paper outlines a mixture distribution of Gaussian method for estimation the probability density function. A RBF neural network architecture for realising such estimation is proposed. Moreover, the learning algorithm is derived. The practical use of the method is illustrated by a small example of an recognition application. The aim of which is to recognise vehicles based on the acoustical signal generated by them. The proposed method is compared with the LVQ algorithm, giving much better results in the recognition application.
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