| 基于AdaBoost的神经元形态分类的研究 |
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| 引用本文： | 陆良虎,毕硕本,葛荐,闫荞荞,颜坚.基于AdaBoost的神经元形态分类的研究[J].系统仿真学报,2011,23(10):2138-2141,2146. |
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| 作者姓名： | 陆良虎 毕硕本 葛荐 闫荞荞 颜坚 |
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| 作者单位： | 1. 南京信息工程大学计算机与软件学院,南京,210044
2. 南京信息工程大学遥感学院,南京,210044 |
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| 基金项目： | 国家自然科学基金(41071253); 江苏省“六大人才高峰”高层次人才培养对象项目 |
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| 摘 要： | 根据神经元形态的几何特征，使用AdaBoost算法对其进行分类，采用决策树、贝叶斯和关联规则分类模型作为基分类器。算法首先采用直接面向纽舍分类器分类精度提升的集成学刁算法选取基分类器，其次利用分类过程中生成样本的孱升权值来调整前K次（K〉1）被错误分类样本的权重，并提留双重阎值法对样本的最终投票表决结果进行判定。对20个测试样本进行分类，得出高可信度分类数为18个。
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| 关 键 词： | 神经元形态 adaboost 分类器组合 累计权值 |
Research on Classification of Neuron Morphology Based on AdaBoost |
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| LU Liang-hu,BI Shuo-ben,GE Jian,YAN Qiao-qiao,YAN Jian.Research on Classification of Neuron Morphology Based on AdaBoost[J].Journal of System Simulation,2011,23(10):2138-2141,2146. |
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| Authors: | LU Liang-hu BI Shuo-ben GE Jian YAN Qiao-qiao YAN Jian |
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| Institution: | LU Liang-hu1,BI Shuo-ben2,GE Jian1,YAN Qiao-qiao1,YAN Jian1(1.School of Computer & Software,Nanjing University of Information Science and Technology,Nanjing 210044,China,2.School of Remote Sensing,China) |
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| Abstract: | According to the geometric characteristics of neuron morphology,neurons were classified by AdaBoost algorithm,in which the decision tree,Bayesian and association rules classification model were used as base classifiers.Firstly,the improvement of the classification precision of combined classifier directly oriented ensemble learning algorithms were adopted to select the base classifier.Secondly,cumulative weights of the sample generated during the classification were used to adjust the weights of misclassifi... |
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| Keywords: | neuronal morphology adaboost combined classifier cumulative weight |
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