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.
S.Samavi, and V. Tahani and P. Khadivi, . (2001). Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks. Journal of Computational Methods in Engineering, 20(2), 17-25.
MLA
S.Samavi, , and V. Tahani and P. Khadivi, . "Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks", Journal of Computational Methods in Engineering, 20, 2, 2001, 17-25.
HARVARD
S.Samavi , V. Tahani and P. Khadivi . (2001). 'Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks', Journal of Computational Methods in Engineering, 20(2), pp. 17-25.
CHICAGO
S.Samavi and V. Tahani and P. Khadivi, "Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks," Journal of Computational Methods in Engineering, 20 2 (2001): 17-25,
VANCOUVER
S.Samavi , V. Tahani and P. Khadivi . Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks. J Comput Methods Eng. 2001;20(2):17-25 (In Persian).
