The Classification and Recognition of Neurons Form
Lijun He · Shuxue de shijian yu renshi · 2011
In understanding neurons characteristics,basic problem is classification for neurons. Neurons forms are complicated,neurons recognition and classification are difficult.This paper provides statistical analysis for reference datas,translates datas into index parameters corresponding to each neuron space form,then determines key indexes for recognizing various types of neurons by using qualitative analysis and contrast analysis.Analytic Hierarchy Process(AHP),graphics section,and the geometrical similarity of analysis method are used to establish the classification model.This model can classify neuron types provided in appendix accurately.Data analysis is finished by using open-source software Scilab,running environment is Scilab5.2,part of codes are developed based on VS2008.