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For given w and input pattern x1 = (1,0,1,0,0), x2 = (0,0,0,1,1) and x3 = (0,1,1,0,0) Output and perform new weight calculations according to Hebb
For given w and input pattern x1 = (1,0,1,0,0), x2 = (0,0,0,1,1) and x3 = (0,1,1,0,0) Output and perform new weight calculations according to Hebb learning rule.(bias / noise zero and learning coefficient 1 are acceptable) 1 1 W=2 0 -0 0 o 0 2 For given w and input pattern x1 = (1,0,1,0,0), x2 = (0,0,0,1,1) and x3 = (0,1,1,0,0) Output and perform new weight calculations according to Hebb learning rule.(bias / noise zero and learning coefficient 1 are acceptable) 1 1 W=2 0 -0 0 o 0 2
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