Acta Optica Sinica, Volume. 16, Issue 8, 1128(1996)
A Neural Networks Model with Trinary Interconnection Weights Based on Orthogonalized Algorithm
An encoding method for constructing trinary interconnection weights based on the rule of least-lost of information is proposed in this paper. The encoding method improves the limitation on the accuracy of optical interconnection and is potential for optical implementation. The performance of ONN is evidently improved by this encoding method compared to the other methods proposed before. A detailed description of this method is presented.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. A Neural Networks Model with Trinary Interconnection Weights Based on Orthogonalized Algorithm[J]. Acta Optica Sinica, 1996, 16(8): 1128