关键词: 自组织映射, 神经网络, 分类, 聚类, 储粮害虫

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.

Key words: self-organizing map, neural network, classification, clustering, stored-grain pests