针对神经元的空间几何形态特征分类问题以及神经元的生长预测问题进行了探讨.结合神经元的形态数据,分别建立了基于支持向量机的神经元形态分类模型、基于主成分分析和支持向量机的神经元分类模型以及基于遗传算法和RBF网络的神经元生长预测模型,在较合理的假设下,对各个模型进行求解,得到了较理想的结果. In this paper, we discuss the classification of neuron spatial features and the growth prediction of neurons.According to the morphological data of neurons, the neuron morphological classification models based on support vector machines are established respectively, based on principal component analysis and support vector machine , And the neuron growth prediction model based on genetic algorithm and RBF neural network. Under a more reasonable assumption, the models are solved and the ideal result is obtained.