计算机工程与应用2009，Vol.45Issue(31)：134-137,4.DOI:10.3778/j.issn.1002-8331.2009.31.040
自组织特征映射神经网络的改进及应用研究
Study on improvement and application of serf-organizing map neural network
摘要
Abstract
In order to increase the learning speed and enhance the classification accuracy of SOM network,modify existing methods of determining the initial connection weights and the numbers of competitive layer nodes.Clustering method is proposed to determine the initial connection weights.A new method is proposed to determine the numbers of competitive layer nodes by adding up the cluster numbers and the numbers of the neighborhood neurons.And then the improved classification algorithm based on SOM network is presented.Apply the improved SOM network to classify stored-grain pests,and use leave-one-out method to train and test the network.The experimental results show that the modified SOM network has been markedly improved in learning speed and classification accuracy,which can prove the validity of the proposed methods.关键词
自组织映射/神经网络/分类/聚类/储粮害虫Key words
self-organizing map/ neural network classification/ clustering/ stored-grain pests分类
计算机与自动化引用本文复制引用
梁斌梅..自组织特征映射神经网络的改进及应用研究[J].计算机工程与应用,2009,45(31):134-137,4.基金项目
广西教育厅科研项目(No.[2006]026). （No.[2006]026）
