PERCEPTRON TYPE LEARNING ALGORITHMS IN NONSEPARABLE SITUATIONS

被引:4
作者
BUTZ, AR
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D O I
10.1016/0022-247X(67)90141-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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页码:560 / &
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共 15 条
[1]   THE RELAXATION METHOD FOR LINEAR INEQUALITIES [J].
AGMON, S .
CANADIAN JOURNAL OF MATHEMATICS-JOURNAL CANADIEN DE MATHEMATIQUES, 1954, 6 (03) :382-392
[2]  
Aizerman M.A., 1964, AUTOMATION REMOTE CO, V25, P917
[3]   A MATHEMATICAL-THEORY OF PATTERN-RECOGNITION [J].
ALBERT, A .
ANNALS OF MATHEMATICAL STATISTICS, 1963, 34 (01) :284-&
[4]   PERCEPTRON - A MODEL FOR BRAIN FUNCTIONING .1. [J].
BLOCK, HD .
REVIEWS OF MODERN PHYSICS, 1962, 34 (01) :123-&
[5]  
BUTZ AR, 1965, THESIS U MINNESOTA
[6]  
CHARNES A, 1963, J MATH ANAL APPL, V7, P475
[7]  
COOPER DB, 1964, IEEE T ELEC COMP
[8]  
DOOB JL, 1953, STOCHASTIC OROCESSES
[9]  
EFRON B, 1964, RADCTDR63533 TECH DO
[10]  
HO YC, 1966, SIAM J CONTROL, V4, P112