A parallel Kohonen algorithm for the classification of large spatial datasets

被引：19
|
作者：
Openshaw, S
Turton, I
机构：
[1] Centre for Computational Geography, School of Geography, Leeds University, Leeds
来源：
COMPUTERS & GEOSCIENCES | 1996年 / 22卷 / 09期
基金：
英国工程与自然科学研究理事会;
关键词：
parallel computer; Kohonen; neural network; Cray T3D; artificial intelligence; spatial data;
D O I：
10.1016/S0098-3004(96)00040-4
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The paper describes the development of Kohonen-net-based methods suitable for the classification of large spatial datasets suitable for parallel processing. Parallelising the Kohonen net is not easy because the degree of natural parallelism is finely grained. This paper presents a new algorithm and demonstrates its performance on the Gray T3D parallel supercomputer. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码：1019 / 1026
页数：8
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