关键词: 神经元, 概率神经网络, BP神经网络, 模糊分类器, 投票分类

Abstract:

In order to disytiguish different nellrons,the morphological classification of neurons in the understanding of the characteristics of neuron structure and function has great significance. Using LMeasure software to extract geometry of neurons for feature, characteristics extracted through principal component analysis to reduce the dimension. Using probabilistic neural network, BP（Back Propagation） neural network, fuzzy classifier consisting of “Note” on the pyramidal neurons, purkinje neuron, motor neurons, sensory neurons, Bipolar interneuron, tripolar interneuron and multipolar interneuron to classify 7 kinds of neuron. Experiments show that the classification of three combined is better than any of them has good performance, a higher recognition rate.

Key words: neurons, probabilistic neural network, BP neural network, fuzzy classifier, voting classification