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I don't get this matrix calculation from an ANN book

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Hi im reading "C++ Neural Networks and Fuzzy Logic by Valluru B. Rao", anyway in one section, i don't get how they are getting this answer for the product of the matrix; ...from the book
Quote:
First, we notice that the binary to bipolar mapping of A = (1, 0, 1, 0) gives the vector (1, –1, 1, –1). Then we take the transpose, and multiply, the way matrices are multiplied, and we see the following:
     1  [1   -1   1   -1]       1   -1   1   -1
     1                     =   -1    1  -1    1
     1                          1   -1   1   -1
     1                         -1    1  -1    1


to me it looks like the answer should be: 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 I don't get it. Whats going on? Thanks

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The result is OK, but there is a mistake in the transpose (probably a typo). It should be

1 [1 -1 1 -1] 1 -1 1 -1
-1 = -1 1 -1 1
1 1 -1 1 -1
-1 -1 1 -1 1


Hope it helps

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