基于自组织特征映射神经网络的储粮害虫分类方法研究

提出了基于自组织特征映射（SOM）神经网络的害虫分类方法：该方法能将任意维输入模式在输出层映射成一维或二维离散图形，并保持其拓扑结构不变，而且无需监督，可实现对输入模式自动分类。分析了SOM网络基本工作原理，并将之用于害虫分类模型的建立中。结果表明，该方法能有效地对害虫进行分类，比BP神经网络分类精确度高、分类结果的可解释性更好。

Study on Stored-grain Pests Classification Based on Self-organizing Feature Map Neural Network

A classification method based on self-organizing feature map (SOM) neural network was proposed.The high-dimensional input space could be projected into one-dimension or two-dimension discrete space with the method.The classification process didn't need supervision and could make input space to be classified automatically.The working principle of SOM network was analyzed,and the SOM network was used to build the stored-grain pests classification model.Results showed that this method could classify pests effe...