An efficient parallel algorithm for LISSOM neural network

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Title:	An efficient parallel algorithm for LISSOM neural network
Authors:	張麗秋;Chang, Li-chiu;Chang, Fi-john
Contributors:	淡江大學水資源及環境工程學系
Keywords:	Laterally interconnected synergetically self-organizing map;Parallel neural networks;Parallel implementation;Balancing load
Date:	2002-11-01
Issue Date:	2011-10-23 02:04:29 (UTC+8)
Publisher:	Elsevier B.V
Abstract:	We present a parallel algorithm for laterally interconnected synergetically self-organizing map (LISSOM) neural network, a self-organizing map with lateral excitatory and inhibitory connections, to enhance the computational efficiency. A general strategy of balancing workload for different sizes of LISSOM networks on parallel computers is described. The parallel algorithm of LISSOM is implemented on IBM SP2 and PC cluster. The results demonstrate the efficiency of this LISSOM parallel algorithm in processing networks with large sizes. Parallel implementation for different input dimensions in networks of the same size (i.e., 20×20) show that the speedup can sustain at a high level. We demonstrate the LISSOM can be applied to complex problems through the parallel algorithm devised in this study.
Relation:	Parallel computing 28(11), pp.1611-1633
DOI:	10.1016/S0167-8191(02)00166-7
Appears in Collections:	[Graduate Institute & Department of Water Resources and Environmental Engineering] Journal Article

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