Machine learning in soil classification

Proceedings of the International Joint Conference on Neural Networks

Volumn 5, Issue , 2005, Pages 2694-2699

  Bhattacharya, B ^a   Solomatine, D P ^a  

^a UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; EXPERT SYSTEMS; FEATURE EXTRACTION; PETROLEUM ENGINEERING; PROBLEM SOLVING;

DECISION TREES; SEGMENTATION ALGORITHM; SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

EID: 33750127769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556350     Document Type: Conference Paper

References (20)

1. rd Int. Conf. on Hybrid and Intelligent Systems, Melbourne, Australia, 2003, pp. 489-498.
2. A. Coerts, Analysis of Static Cone Penetration Test Data for Subsurface Modelling - A Methodology (PhD Thesis), Utrecht University, The Netherlands, 1996.
3. L.F. Costa, and R.M. Cesar, Shape Analysis and Classification: Theory and Practice, Boca Raton, Florida: CRC Press, 2001.
4. Gordon, A.D. "A survey of constrained classification", Computational Statistics & Data Analysis, vol. 21, pp. 17-29, 1996.
5. S. Haykin, Neural Networks: A Comprehensive Foundation, New Jersey: Prentice Hall, 1999.
6. D.M. Hawkins, and D.F. Merriam, "Optimal zonation of digitized sequential data". Mathematical Geology, vol. 5, pp. 389-395, 1973.
7. G.P. Huijzer, Quantitative Penetrostratigraphic Classification (PhD Thesis), Free University of Amsterdam, The Netherlands, 1992.
8. C.H. Juang, X.H. Huang, R.D. Holtz, and J.W. Chen, "Determining relative density of sands from CPT using fuzzy sets", J. of Geotechnical Engineering, vol. 122(1), pp. 1-6, 1996.
9. M.G. Kerzner, Image Processing in Well Log Analysis, Dordrecht, The Netherlands: Reidel Pub., 1986.
10. J. K. Kumar, M. Konno, and N. Yasuda, "Subsurface soil-geology interpolation using fuzzy neural network", J. of Geotechnical and Geoenvironmental Engineering, ASCE, vol. 126(7), pp. 632-639, 2000.
11. NeuralMachine, http://www.data-machine.com/, 28.1.2005.
12. NeuroSolutions, http://www.nd.com/, 28.1.2005.
13. RHUL, Computer Learning Research Centre, Royal Holloway University of London, (http://www.clrc.rhul.ac.uk/, 26/1/2005)
14. th Scandinavian Conf on Image Analysis, Norway, 1993, vol. 2, pp. 1403-1410.
15. K. Wagstaff, Intelligent Clustering with Instance-Level Constraints (PhD thesis), Cornell University, USA, 2002.
16. R. Webster, "Optimally partitioning soil transects", Journal of Soil Science, vol. 29, pp. 388-402, 1978.
17. H.J.T. Weerts, Complex Confining Layers, Utrecht University, The Netherlands, 1996.
18. I.H. Witten, and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000.
19. I.T. Young, and T.W. Calvert, "An analysis technique for biological shape", Information and Control, vol. 25, pp 357-370, 1974.
20. Z. Zhang, and M. T. Tumay, "Statistical to fuzzy approach toward CPT soil classification", J of Geotechnical and Geoenvironmental Engineering, vol. 125(3), pp. 179-186, 1999.