作　　者： ; ; (林绪平）;

机构地区： 仲恺农业技术学院机电工程学院

出　　处： 《西北林学院学报》 2008年第4期27-29,共3页

摘　　要： 为了对森林土壤湿度采集点进行分类,利用SOM神经网络建立网络分类的数学模型,将十个采集点的数据通过神经网络的聚类分析,分成四类环境相近的区域,以便于森林植被的种植和管理。文章分析了采集器硬件电路,最后讨论了该种分类方法的优、缺点。 The model of classified network was established by SOM neuron network.This model cao used to classify the data acquisition points of soil humidity in forests.In order to plant and manage the forest vegetation better,the cluster analysis of the data of ten acquisition points was carried by neuron network.And the acquisition points were classified into four approximate environments.The hardware circuit of collector was proposed.Finally the merits and drawbacks of this method were presented.

关 键 词： 土壤湿度 神经网络 数据采集 聚类分析

领　　域： [农业科学]