[Objective]The aim was to overcome the shortage of being difficult to build land evaluation model when the impact factors had continuous value in the traditional land evaluation process,as well as to improve the intel...[Objective]The aim was to overcome the shortage of being difficult to build land evaluation model when the impact factors had continuous value in the traditional land evaluation process,as well as to improve the intelligibility of the land evaluation knowledge.[Method] The land evaluation method combining classification rule extracted by C4.5 algorithm with fuzzy decision was proposed in this study.[Result] The result of Second General Soil Survey of Guangdong Province had demonstrated that the method was convenient to extract classification rules,and by using only 100 rules,quantity correct rate 86.67% and area correct rate 84.80% of land evaluation could be obtained.[Conclusions] The use of C4.5 algorithm to obtain the rules,combined with fuzzy decision algorithm to build classifiers had got satisfactory results,which provided a practical algorithm for the land evaluation.展开更多
针对有噪声的高维数据引起决策树预测准确率下降的问题,利用容噪主成分分析(Noise-free Principal Component Anlysis,NFPCA)算法思想对C4.5算法改进而形成NFPCA-in-C4.5算法。该算法一方面将高维数据噪声控制问题转化为拟合数据特征与...针对有噪声的高维数据引起决策树预测准确率下降的问题,利用容噪主成分分析(Noise-free Principal Component Anlysis,NFPCA)算法思想对C4.5算法改进而形成NFPCA-in-C4.5算法。该算法一方面将高维数据噪声控制问题转化为拟合数据特征与控制平滑度相结合的最优化问题,从而获得主成分空间;另一方面在决策树自顶向下构建新节点的过程中,再将主成分空间恢复到原始数据空间来避免降维过程中属性特征信息永久消失。实验结果表明NFPCA-in-C4.5算法兼具降维和容噪功能,避免了降维中由特征信息损失和噪声残留造成的预测模型准确率大幅降低的问题。展开更多
基金Supported by Science and Technology Plan Project of Guangdong Province (2009B010900026,2009CD058,2009CD078,2009CD079,2009CD080)Special Funds for Support Program of Development of Modern Information Service Industry of Guangdong Province(06120840B0370124 )Fund Project of South China Agricultural University (2007K017)~~
文摘[Objective]The aim was to overcome the shortage of being difficult to build land evaluation model when the impact factors had continuous value in the traditional land evaluation process,as well as to improve the intelligibility of the land evaluation knowledge.[Method] The land evaluation method combining classification rule extracted by C4.5 algorithm with fuzzy decision was proposed in this study.[Result] The result of Second General Soil Survey of Guangdong Province had demonstrated that the method was convenient to extract classification rules,and by using only 100 rules,quantity correct rate 86.67% and area correct rate 84.80% of land evaluation could be obtained.[Conclusions] The use of C4.5 algorithm to obtain the rules,combined with fuzzy decision algorithm to build classifiers had got satisfactory results,which provided a practical algorithm for the land evaluation.
文摘针对有噪声的高维数据引起决策树预测准确率下降的问题,利用容噪主成分分析(Noise-free Principal Component Anlysis,NFPCA)算法思想对C4.5算法改进而形成NFPCA-in-C4.5算法。该算法一方面将高维数据噪声控制问题转化为拟合数据特征与控制平滑度相结合的最优化问题,从而获得主成分空间;另一方面在决策树自顶向下构建新节点的过程中,再将主成分空间恢复到原始数据空间来避免降维过程中属性特征信息永久消失。实验结果表明NFPCA-in-C4.5算法兼具降维和容噪功能,避免了降维中由特征信息损失和噪声残留造成的预测模型准确率大幅降低的问题。
