Recognition of rotated patterns using neocognitron
نویسندگان
چکیده
A rotation-invariant neocognitron is constructed by extending the neocognitron which can recognize translated, scaled and/or distorted patterns from training ones. In constructing the model two technical methods during the learning, a “threshold-controlling method” and a “rotation matrix method”, are proposed. In numerical simulations, it is shown that the model can recognize globally and/or locally rotated patterns in an arbitrary angle without learning the patterns themselves.
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