Neural Network & Fuzzy Systems

Comparison F1 And Recognition F2 Layers

Introduction:-The comparison layer F1 receives the binary external input, then F1 passes the external input to recognition layer F2 for matching it to a classification category. The result is passed back to F1 to find :

If the category matches to that of input, then

− If Yes (match) then a new input vector is read and the cycle starts again

− If No (mismatch) then the orienting system inhibits the previous category to get a new category match in F2 layer.

The two gains, control the activities of F1 and F2 layer, respectively.