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来源类型Article
规范类型其他
DOI10.1016/0925-2312(93)90007-P
The construction of minimal multilayered perceptrons: A case study for sorting.
Zwieterinng PJ; Aarts EHL; Wessels J
发表日期1993
出处Neurocomputing 5 (4-5): 197-210
出版年1993
语种英语
摘要We consider the construction of minimal multilayered perceptrons for solving combinatorial optimization problems. Though general in nature, the proposed construction method is presented as a case study for the sorting problem. The presentation starts with an Full-size image (<1 K) three-layered perceptron based on complete enumeration, that solves the sorting problem of n numbers. This network is then gradually reduced to an Full-size image (<1 K) three-layered perceptron, which can be viewed as a neural implementation of Preparata's parallel enumerative sorting algorithm.
主题Methodology of Decision Analysis (MDA)
关键词Minimal multilayered perceptrons feed-forward neural networks combinatorial optimization problems sorting
URLhttp://pure.iiasa.ac.at/id/eprint/12764/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127161
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GB/T 7714
Zwieterinng PJ,Aarts EHL,Wessels J. The construction of minimal multilayered perceptrons: A case study for sorting.. 1993.
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