The use of hybrid self-organizing neural networks and fast discrete wavelet transform for the construction of systems of classification of signals
Abstract
The use of hybrid self-organizing neural networks and fast discrete wavelet transform for the construction of systems of classification of signals
In this paper we consider the problem of constructing a classification algorithm signals using self-organizing hybrid neural networks and fast wavelet transform, which is a special type of linear transformation of the signals and these signals are displayed physical data about the processes and physical properties of natural environments and objects implemented using fast neural networks.
Keywords: signal, classification, neural network, self-organization, the wavelet.