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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.