역전파 알고리즘 기반 양방향 연상 신경망

초록

A well-known BAM(Bidirectional Associative Memory) has been widely used to emulate human’s bidirectional association capability which can recognize a concept from objects and also recall a representative object from that concept. However, the conventional association model like BAM is often not useful for solving non-linearly separable problem and also inadequate when considering its capacity and speed of association. In order to relax such inadequacies, we propose BBN(Bidirectional Backpropagation Neural-net) based on backpropagation algorithm. We also validate the usefulness of BBN by some experiments for Exclusive-OR, Prior Encoder-Decoder, and Character Recognition problems. In some discussions, we state that BBN may outperform the conventional ones in terms of bidirectional association capability and its efficacy.

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