[1]侯立铎,叶洁. C4.5算法在工程质量决策支持系统中的应用研究[J].计算机技术与发展,2016,26(02):132-135.
　HOU Li-duo,YE Jie. Applied Research of C4 . 5 Algorithm in Engineering Quality Decision Support System[J].,2016,26(02):132-135.
点击复制

 C4.5算法在工程质量决策支持系统中的应用研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
132-135
栏目:
应用开发研究
出版日期:
2016-02-10

文章信息/Info

Title:
 Applied Research of C4 . 5 Algorithm in Engineering Quality Decision Support System
文章编号:
1673-629X（2016)02-0132-04
作者:
 侯立铎; 叶洁
 贵州大学 计算机科学与技术学院
Author(s):
 HOU Li-duo; YE Jie
关键词:
 ; C4.5算法; 信息熵; 工程质量; Weka
Keywords:
 ; C4. 5 algorithm; entropy; project quality; Weka
分类号:
TP301.6
文献标志码:
A
摘要:
 由于传统的水利工程质量监督管理系统只是起到监管的作用，难以发现并预测工程质量上潜在的问题。针对这一现象，提出了采用决策树C4.5算法对工程质量进行决策支持的解决方案。首先概述了决策树算法和C4.5算法，然后详细阐述了决策支持系统中数据预处理、利用C4.5算法进行数据建模的过程，最后根据建立好的决策树模型开发决策支持系统。实验结果表明：用C4.5算法建立的决策树模型准确率较高，开发的决策支持系统能很好地应用到实际工程质量监督的过程中并达到了预期目的，能较好地对未来工程质量进行预测，给监督部门提供决策支持。
Abstract:
 As traditional hydraulic engineering quality supervision and management system just playing the role of regulation,it is difficult to detect and predict potential problems on the quality of the project. Aiming at this phenomenon,a solution about using the C4. 5 algo-rithm to make decision on project quality was proposed. First provided an overview of the algorithm and C4. 5 decision tree algorithm and then elaborated data preprocessing and the process about data modeling used with C4. 5 algorithm in decision support system. Finally de-veloped the decision support system according to the decision tree model. The experimental results show that the decision tree model es-tablished by C4. 5 algorithm has high accuracy. The developed decision support system can be well applied to practical engineering quality supervision process and achieves the desired results. It can be better for the future project quality prediction,providing decision support to the supervision department.

相似文献/References:

[1]肖秋根 王成友 梁华 刘云辉.C4．5算法在列车轨道故障检测上的应用研究[J].计算机技术与发展,2006,(04):76.
　XIAO Qiu-gen,WANG Cheng-you,LIANG Hua,et al.Application of C4.5 Algorithm in Train＇s Rail Deformation Detection[J].,2006,(02):76.
[2]吴楠 宋方敏.用C4．5算法对局域网数据报进行行为分类[J].计算机技术与发展,2006,(07):1.
　WU Nan,SONG Fang-min.Classify Datagram on LANs by Using C4.5 Classification Algorithm[J].,2006,(02):1.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(02):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(02):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(02):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(02):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(02):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(02):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(02):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(02):38.
[11]孙媛,黄刚. 基于Hadoop平台的C4.5算法的分析与研究[J].计算机技术与发展,2014,24(11):83.
　SUN Yuan,HUANG Gang. Analysis and Study of C4 . 5 Algorithm Based on Hadoop Platform[J].,2014,24(02):83.

更新日期/Last Update: 2016-04-15