An improved support vector machine based on rough set for construction cost prediction

IFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications

Volumn 2, Issue , 2009, Pages 3-6

  Hongwei, Ma ^a  

^a MUDANJIANG NORMAL UNIVERSITY   (China)

Author keywords

Construction cost prediction; Rough set; Support vector machine

Indexed keywords

ATTRIBUTE REDUCTION; BUDGET MANAGEMENT; CONSTRUCTION COSTS; CONSTRUCTION PROJECTS; IMPROVED SUPPORT VECTOR MACHINE; INVESTMENT DECISIONS; MINIMAL COST; PREDICTION ACCURACY; REGRESSION TECHNIQUES; RESEARCH RESULTS; ROUGH SET; STATISTICAL LEARNING THEORY;

COMPUTER SCIENCE; CONSTRUCTION INDUSTRY; COSTS; FORECASTING; GEARS; INVESTMENTS; MULTILAYER NEURAL NETWORKS; RAPID SOLIDIFICATION; ROUGH SET THEORY; SUPPORT VECTOR MACHINES; VECTORS;

PROJECT MANAGEMENT;

EID: 77949779526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFCSTA.2009.123     Document Type: Conference Paper

References (12)

1. Jian Gong, "Whole Course Management of Cost of Construction Project", Coal Technolog, Beijing,Vol.26,No.3,Mar.2007,pp1-2.
2. Qiang Cheng,and Mingyan Zhai, Study on the model of Cost Estimation of Construction based on the BP Neural Network,Optimization Of Capitalconstruction, Beijing,Vol.23,No.3,Jun.2002,pp33-34.
3. Xiaofang Yang,and Tinghuai Chen, "Neuro Network Inherent Advantages and Disadvantages", The ComputerTechonology,Beijing,Vol.21,No.2,1994,pp23- 26.
4. [Qingbao Zhang,Haozhong Cheng,Qingshan Liu,Jiwei Zheng,and Donghai Ni,"Short-Term Load Prediction based on Attribute Reduction Algorithm of Rough Sets and Support Vector Machine",Power System Technology, Beijing,Vol.30,No.8,Apr.2006,pp57.
5. Jinpei Wu and Deshan Sun."Modern Data Analysis", China Machine Press, Beijing, 2006,pp3-14.
6. Qingmei Yu, Shengbo Yang,and Qing Chen, "Comparison of SVM, PLS based SVM, and PCA-based SVM for Nonlinear System Identification", Application Research of Computers, Chengdu,Vo1.24, No.6,June.2007,pp86-87.
7. Tao Yang, "SVM Multiuser Detection based on HeuristicKernel", HighTecnlogyLettersi,Beijing,Vol.13,No.21,June .2007,pp190-191.
8. Baohua Xu, Hongru Li,and Haifeng Bai, "Application of LS-SVM in Predicting Condition Monitoring Data", Science Technology and Engineering, Beijing,Vo1.7,No.15,Aug.2007,pp3925-3926.
9. Yanxi Yang, Ding Liu, and Jing Xin, "Inverse Kinematics of Robotic Manipulators based on LS - SVM", Journal of System Simulation, Tianjin,Vol.18,No.5,May.2006,pp1260-1262.
10. Xiaofei Yan, Hongwei Ge, and QishengYan, "SVM with RBF kemel and its Application Research", Computer Engineering and Designe,Beijing,Vo1.27, No11,June.2006,pp1997-2011.
11. http://www.idi.ntnu.no/~aleks/rosetta/, 2003/11/12
12. Jianchao Kuang, and Zhiying Xu, "The Application of Partial Least Squares Regression and NeuralNetwork Model to Predicting Construction cost", Studying Business, Harbin, Aug.2006,pp89-90.