Train a hetero-associative memory network using hebb rule .
By Stuff-Engg
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Train a Hetroassociative network in soft computing, Slides of Artificial Intelligence
Solved problem of Hetro Associative Memory Network
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2018/2019
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Train a hetero-associative memory network using hebb rule.
By Stuff-Engg
Q] Train a hetero-associative memory network using hebb rule to store input row vector S = (s1,s2,s3,s4) to the outpout row vector T= (t1,t2) The vector pairs are given in table Input Target s1 s2 s3 s4 t1 t 1 1 0 1 0 1 0 2 1 0 0 1 1 0
- Similarly second pair :
S = (1,0,0,1) and T = (1,0)
- Hebb Rule Computations Using Outer Products
- W =^ +^ =
0 0 1 1 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 2 0 0 0 1 0 1 0
- The architecture of given hetroassociative memory network : W= For The First input pattern (1,0,1,0): Y_in1 = s1w11+s2w21+s3w31+s4w41= =1(2)+0(0)+1(1)+0(1)=3; Y_in2 = s1w12+s2w22+s3w32+s4w42= = 1(0)+0(0)+1(0)+0(0)=0; S S S S t t w w w w w w w w 2 0 0 0 1 0 1 0