基于SOM神经网络的大庆市畜牧生产聚类分析

Cluster Analysis of Animal Husbandry Production in Daqing Based on SOM Neural Network

根据大庆市畜牧业发展的实际,构建了大庆市主要畜禽生产水平的指标体系,设计并建立自组织神经网络模型(SOM),对大庆市各地区的畜牧生产水平进行了聚类分析。结果表明,大庆市各地区的畜牧生产的区划分类结果符合实际,大庆市各地区的畜牧业发展水平不仅与地域资源密切相关,而且与其经济发展水平也紧密联系;同时也充分证明了自组织神经网络(SOM)模型是一种畜牧生产水平聚类分析的新方法。

According to the actual development of animal husbandry in Daqing,the index system of the main livestock and poultry production in Daqing was constructed,and a self-organizing neural network model(SOM)was designed and established to cluster the livestock production in all regions of Daqing.The results showed that the classification results of livestock production in all regions of Daqing were in line with the actual situation.The level of animal husbandry in Daqing was closely related to not only the regional resources,but also the level of economic development.At the same time,Self-organizing neural network model(SOM)was a new method of cluster analysis of livestock production level.