Intersection Learning for Bidirectional Associative Memory
نویسندگان
چکیده
منابع مشابه
Bidirectional Associative Memory for Short-term Memory Learning
Previous research has shown that Bidirectional Associative Memories (BAM), a special type of artificial neural network, can perform various types of associations that human beings are able to perform with little effort. However, considering a simple association problem, such as associating faces with names, iterative type BAM networks usually take hundreds and sometimes thousands of learning tr...
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In contrast to conventional feedback bidirectional associative Memory (BAM) network models, a feedforward BAM network is developed based on a one-shot design algorithm of O(p(2)(n+m)) computational complexity, where p is the number of prototype pairs and n, m are the dimensions of the input/output bipolar vectors. The feedforward BAM is an n-p-m three-layer network of McCulloch-Pitts neurons wi...
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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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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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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1996
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.116.7_755