Application of a neural network to on-line analysis of non-stationary (speech) signals represented by their wavelet transform. II. Study and optimization of the neural network

The neural-network perceptron complexity level is well grounded and main learning characteristics are obtained. We suggest the tools for input vectors dimensionality reducing for perceptron learning and signal state recognition based on the principal component analysis.