C++ Neural Networks and Fuzzy Logic: Preface

•  We run the bnrn array through the transpose of the weight matrix and calculate the outputs of the

anrn array elements. If, as a result, we get the vector X as the anrn array, we found an associated

pair, (X, Y). Otherwise, we repeat the two steps just described until we find an associated pair.

•  We now work with the next pair of exemplar vectors in the same manner as above, to find an

associated pair.

•  We assign serial numbers, denoted by the variable idn, to the associated pairs so we can print

them all together at the end of the program. The pair is called (X, Y) where X produces Y through the

weight matrix W, and Y produces X through the weight matrix, which is the transpose of W.

•  A flag is used to have value 0 until confirmation of association is obtained, when the value of the

flag changes to 1.