A data mining approach for jet grouting uniaxial compressive strength prediction

2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Volumn , Issue , 2009, Pages 553-558

  Tinoco, Joaquim ^a   Correia, António Gomes ^a   Cortez, Paulo ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

Artificial neural netwoks; Data mining; Ground improvement; Jet grouting; Uniaxial compressive strength

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDIES; COMPLEX RELATIONSHIPS; CONTRIBUTING FACTOR; DATA MINING MODELS; DATA SETS; DATA-DRIVEN MODEL; DESIGN RULES; ENGINEERING PROJECT; FUNCTIONAL NETWORK; GROUND IMPROVEMENT; IMPROVEMENT PROBLEMS; JET GROUTING; RATIONAL MODELS; SOIL TREATMENTS; UNIAXIAL COMPRESSIVE STRENGTH;

CONCRETE CONSTRUCTION; CUSTOMER SATISFACTION; DATA MINING; GEOTECHNICAL ENGINEERING; GROUTING; MODELS; MORTAR; NEURAL NETWORKS; SANDWICH STRUCTURES; SUPPORT VECTOR MACHINES; TOTAL QUALITY MANAGEMENT;

COMPRESSIVE STRENGTH;

EID: 77949608171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2009.5393401     Document Type: Conference Paper

References (31)

1. GmbH, Keller Holding. "The soilcret - Jet Grouting Process." Keller Publications. 2005.
2. Falcão, João F., Alexandre L. Pinto, and Francisco D. Pinto. "Cases histories of ground improvement solutions using jet-grouting." 2000.
3. Padura, A. Barrios, J. Barrios Sevilla, and J. García Navarro. "Study of the soil consolidation using reinforced jet grouting by geophysical and geotechnical techniques: "La Normal" building complex (Granada)." Construction and Building Materials (2008), doi:10.1016/j.conbuildmat.2008.07.011
4. Croce, P., and A. Flora. "Analysis of single-fluid jet grouting." Géotechnique ,Vol. 51 (2001), pp. 905-906.
5. Kirsh, Fabian, and wolfgang Sondermann. "Ground Improvement and its Numerical Analysis." Istanbul, 2001.
6. Normalisation, Comité Européen the. Eurocode 2: "Design of concret structures - Part 1-1: General rules and rules for buildings." Bruxelas: CEN, 2004.
7. D. Rumelhart, G. Hinton, and R. Williams. "Learning Internal Representations by Error Propagation." In D. Rulmelhart and J. McClelland, editors, Parallel Distributed Processing: Explorations in the Microstructures of Cognition, vol. 1, pp.318-362, MIT Press, Cambridge MA, 1986.
8. C. Cortes and V. Vapnik. "Support Vector Networks." Machine Learning, 20(3):273-297, 1995.
9. T. Hastie, R. Tibshirani, and J. Friedman. "The Elements of Statistical Learning: Data Mining, Inference, and Prediction." Springer-Verlag, NY, USA, 2001.
10. Castillo, Enrique, José Manuel Gutiérrez, Ali S. Hadi, and Beatriz Lacruz. "Some Applications of Functional Networks in Statistics and Engineering." Technometrics 43 (2001), pp.10-24.
11. El-Sebakhy, Emad A. "Software reliability identification using functional networks: A comparative study." Expert systems with applications 35 (2009), pp. 4013-4020.
12. Castillo, Enrique, Ali S. Hadi, Beatriz Lacruz, and Rosa E. Pruneda. "Semi-parametric nonlinear regression and transformation using functional network." Computational Statistics & Data Analysis, 2008, pp. 2129-2157.
13. Betanzos, Amparo Alonso, Enrique Castillo, Fontenla Oscar Romero, and Noelia Sánchez Marono. "Shear Strength Prediction using Dimensional Analysis and Functional Networks." European Symposium on Artificial Neural Networks. Bruges (Belgium), 2004, pp.251-256.
14. Rezania, Mohammad, and Akbar A. Javadi. "A new genetic programming model for predicting settlement of shallow foundations." Canadian Geotechnical, December 2007, pp.1462-1473.
15. Yusuf E. "Artificial Neural Networks Approach for Swell Pressure versus Soil Suction Behavior." Canadian Geotechnical, 2007, pp.1215-1223.
16. Lai S., Serra M. "Concrete Strength Prediction by means of Neural Network." Constrruct Build Mater (1997); 11(2), pp. 93-98.
17. Shibazaki, Mitsuhiro. "State of Pratice of Jet Grouting." Grouting and Ground Treatment. New Orleans (2003), pp.198-217.
18. Gazzarrini, Paolo, Matt Kokan, e Stephen Jungaro. "Case History of Jet Grouting in British Columbia. Underpinning of CN Rail Tunnel in North Vancouver." The Grout Line (2005), pp. 47-54.
19. Jalali, Saíd, e L.M.V. Santos. "Early Quality Control and Early Formwork Removal whith setting Time." 1996.
20. Kewley, R., Embrechts, M and Breneman, C. "Data Strip Mining for the Virtual Design of Pharmaceuticals with Neural Networks". IEEE Transactions on Neural Networks, 11(3), 2000, pp.668-679.
21. Kenig, S., Ben-David, A., Orner, M., and Sadeh, A. 2001. "Control of properties in injection molding by neural networks." Engineering Applications of Artificial Intelligence, 14, pp.819-823. doi: J O. 1016IS0952-1976(02)00006-4.
22. Perzyk, M., and Kochanski, A.W. 2001. "Prediction of ductile cast iron quality by artificial neural Networks." Journal of Materials Processing Technology, 109, pp.305-307. doi: 10. 10 16/S0924-0136(00)00822-0.
23. Smola A. and Scholkopf B. "A tutorial on support vector regression." Statistics and Computing (2004), pp.14:199-222.
24. V. Cherkassy and Y. Ma. "Practical Selection of SVM Parameters and Noise Estimation for SVM Regression." Neural Networks, 17(1), pp. 113-126, 2004.
25. Castillo, E., A. Cobo, J. M. Gutiérrez, and E. Pruneda. "Functional Networks with Applications: a neural-based paradigm." Springer, 1998.
26. El-Sebakhy, Emad A., Kanaan Abed Faisal, T. Helmy, F. Azzedin, and A. Al-Suhaim. "Evaluation of breast cancer tumor classification with unconstrained functional networks classifier." In Proceeding of the 4th ACS/IEEE international conference on computer. (2006), pp.281-287.
27. Li, Chunguang, Xiaofeng Liao, Zhongfu Wu, and Juebang Yu. "Complex functional networks." Mathematics and Computers in Simulation (2001), pp.355-265.
28. Zhou, Yong Quan, Deng Xu He, and Zheng Nong. "Problems, Application of Functional Network to Solving Classification." World Academy of Science, Engineering and Technology. 2005. 390-393.
29. R Development Core Team. "R: A language and environment for statistical computing." R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-00-3, http://www.R-project.org, (Accessed July 27, 2009).
30. Cortez, Paulo. "RMiner: Data Mining with Neural Networks and Support Vector Machines using R." In R. Ra jesh (Ed.), Introduction to Advanced Scientific Softwares and Toolboxes, In press.
31. GAMS, Development Corporation. "On-line Documentation." Welcome to the GAMS Home Page. Juny 15, 2009. http://www.gams.com/docs/document.htm (accessed Juny 27, 2009)