Statistical Analysis of the Single-Layer Backpropagation Algorithm: Part II-MSE and Classification Performance

IEEE Transactions on Signal Processing

Volumn 41, Issue 2, 1993, Pages 581-591

  Bershad, Neil J ^a   Shynk, John J ^b   Feintuch, Paul L ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c RAYTHEON COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PROBABILITY; STATISTICAL METHODS; VECTORS;

CORRECT CLASSIFICATION PROBABILITY; DIFFERENTIABLE NONLINEARITY; GRADIENT-DESCENT METHOD; MEAN-SQUARE ERROR MINIMIZATION; SINGLE-LAYER BACKPROPAGATION ALGORITHM; WEIGHT VECTORS;

LEARNING SYSTEMS;

EID: 0027539557     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.993122     Document Type: Article

References (4)

1. N. J. Bershad, J. J. Shynk, and P. L. Feintuch, “Statistical analysis of the single-layer backpropagation algorithm: Part I-Mean weight behavior,” IEEE Trans. Signal Processing, this issue, pp. 573-582.
2. r. F. Pawula, “A modified version of Price's theorem,” IEEE Trans. Inform. Theory, vol. IT-13, pp. 285-288, Apr. 1967.
3. j. j. Shynk and n. j. Bershad, “Steady-state analysis of a single-layer perceptron based on a system identification model with bias terms,” IEEE Trans. Circuits Syst., vol. 38, pp. 1030-1042, Sept. 1991.
4. B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, nj: Prentice-Hall, 1985.