An efficient parallel algorithm for LISSOM neural network
學年 91
學期 1
出版(發表)日期 2002-11-01
作品名稱 An efficient parallel algorithm for LISSOM neural network
作品名稱(其他語言)
著者 張麗秋; Chang, Li-chiu;Chang, Fi-john
單位 淡江大學水資源及環境工程學系
出版者 Elsevier B.V
著錄名稱、卷期、頁數 Parallel computing 28(11), pp.1611-1633
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., 20×20) 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.
關鍵字 Laterally interconnected synergetically self-organizing map;Parallel neural networks;Parallel implementation;Balancing load
語言 en
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期刊性質 國內
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出版型式 ,電子版
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