A. V. Merkusheva
Saint-Petersburg
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.