An efficient parallel algorithm for LISSOM neural network

被引：6

作者：

Chang, LC ^{[1
]}

Chang, FJ ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 10617, Taiwan

来源：

PARALLEL COMPUTING | 2002年 / 28卷 / 11期

关键词：

laterally interconnected synergetically self-organizing map; parallel neural networks; parallel implementation; balancing load;

D O I：

10.1016/S0167-8191(02)00166-7

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 x 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. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：1611 / 1633

页数：23

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