| 神经元的形态分类和识别 |
| |
| 引用本文： | 吕冬妮,康彩,台流臣,何力军.神经元的形态分类和识别[J].数学的实践与认识,2011,41(14). |
| |
| 作者姓名： | 吕冬妮 康彩 台流臣 何力军 |
| |
| 作者单位： | 宁夏大学物理电气信息学院,宁夏银川,750021 |
| |
| 摘 要： | 对神经元特性的认识,最基本问题是神经元的分类.神经元的形态复杂多样,神经元的识别分类问题有相当的困难.对提供的参考数据进行统计分析,将其转化成对应每类神经元的空间形态的指标参数,然后对每个指标进行定性分析和对比分析,确定对各类型神经元细胞识别起关键作用的指标,利用层次分析法、图形截面、几何相似性等分析方法建立神经元的分类模型.分类模型能够将附录提供的神经元进行准确的分类.数据分析采用开源科学计算软件Scilab进行处理,运行环境为Scilab5.2,部分代码采用C#基于VS2008开发.
|
| 关 键 词： | 神经元分类 数学建模 Scilab 分类法 |
The Classification and Recognition of Neurons Form |
| |
| LV Dong-ni,KANG Cai,TAI Liu-chen,HE Li-jun.The Classification and Recognition of Neurons Form[J].Mathematics in Practice and Theory,2011,41(14). |
| |
| Authors: | LV Dong-ni KANG Cai TAI Liu-chen HE Li-jun |
| |
| Institution: | LV Dong-ni,KANG Cai,TAI Liu-chen,HE Li-jun (School of Physics and Electrical Information Engineering,Ningxia University,Yinchuan 750021,China) |
| |
| Abstract: | 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... |
| |
| Keywords: | classification of neurons mathematical modeling scilab classification method |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
