Volume 20, Issue 2 (4-2001)                   jame 2001, 20(2): 17-25 | Back to browse issues page


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S.Samavi, V. Tahani and P. Khadivi. Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks. jame. 2001; 20 (2) :17-25
URL: http://jame.iut.ac.ir/article-1-225-en.html

Abstract:   (1235 Views)
Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural network and its energy function is introduced. This network requires a significantly smaller number of neurons compared to its counterparts. Also presented is the performance of this neural network. Keywords: Routing, Multicomputer systems, Recurrent neural networks, Mesh interconnection networks.
Full-Text [PDF 232 kb]   (431 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/10/25

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