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

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.