From Bidirectional Associative Memory to a noise-tolerant, robust Protein Processor Associative Memory
نویسندگان
چکیده
منابع مشابه
Bidirectional Retrieval from Associative Memory
Similarity based fault tolerant retrieval in neural associative memories (N AM) has not lead to wiedespread applications. A drawback of the efficient Willshaw model for sparse patterns [Ste61, WBLH69], is that the high asymptotic information capacity is of little practical use because of high cross talk noise arising in the retrieval for finite sizes. Here a new bidirectional iterative retrieva...
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A new BAM model is presented that uses a chaotic output function operating in chaotic mode during recall. Our results show that the model develops well-defined attractor basins, with the result that our chaotic BAM is more tolerant to noise than a regular fixed point BAM. This is concluded from simulations that showed the superior performance of the new model when compared to the original BAM a...
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A classical bidirectional associative memory (BAM) suffers from low storage capacity and abundance of spurious memories though it has the properties of good generalization and noise immunity. In this paper, Hamming distance in recall procedure of usual asymmetrical BAM is replaced with modified Hamming distance by introducing weighting matrix into connection matrix. This generalization is valid...
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The capacity of Bidirectional associative memory (BAM) was examined a lot in research, but not completely. In particular, this issue was not investigated in the context of strings coding. In this paper we apply different approaches to estimate the capacity of BAM for strings coding. One of these approaches is recalling of all coded strings. Another is applying Hamming and Levenshtein distances ...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2011
ISSN: 0004-3702
DOI: 10.1016/j.artint.2010.10.008