Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming

Neural Computing and Applications

Volumn 18, Issue 8, 2009, Pages 1031-1041

  Çanakci, Hanifi ^a   Baykasoǧlu, Adil ^a   Güllü, Hamza ^a  

^a GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Basalt; Gene expression programming; Tensile and compressive strength

Indexed keywords

EID: 70350376878     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-008-0208-0     Document Type: Article

References (30)

1. ISRM (1981) Rock characterisation testing and monitoring. In: Brown ET (ed) Pergamon Press, Oxford.
2. Fener M, Kahraman S, Bilgil A, Gunaydin O (2005) A comparative evaluation of indirect methods to estimate the compressive strength of rocks. Rock Mech Rock Eng 38:329-343. doi:10.1007/s00603-005-0061-8.
3. Singh VK, Singh D, Singh TN (2001) Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks. Int J Rock Mech Min Sci 38:269-284. doi:10.1016/S1365-1609(00)00078-2.
4. Meulenkamp F (1997) Improving the prediction of the UCS, by equotip readings using statistical and neural network models. Mem Cent Eng Geol Neth 162:127.
5. Meulenkamp F, Alveraz GM (1999) Application of neural networks for the prediction of the unconfined compressive strength (UCS) from equotip hardness. Int J Rock Mech Min Sci 36:29-39. doi:10.1016/S0148-9062(98)00173-9.
6. Nie X, Zhang Q (1994) Prediction of rock mechanical behaviour by artificial neural network. A comparison with traditional method. In IV CSMR, Integral Approach to Applied Rock Mechanics, Santiago, Chile.
7. Garret JH Jr (1994) Where and why artificial neural networks are applicable in civil engineering. J Comput Civ Eng 8:129-130. doi:10.1061/(ASCE)0887-3801(1994)8:2(129).
8. Tolun N, Pamir HN (1975) Explanatory text of the geological map of Turkey-Hatay. MTA (General Directorate of Mineral Research and Exploration), Ankara.
9. MTA (General Directorate of Mineral Research and Exploration) (1994) Geological Map of the Gaziantep-K24 Quadrangle. Ankara, Turkey.
10. Shakoor A, West TR, Scholer CF (1982) Physical characteristics of some Indiana argillaceous carbonates regarding their freeze thaw resistance in concrete. Bull Assoc Eng Geol 19:371-384.
11. ASTM C127 (1997) Specific gravity and absorption of coarse aggregate.
12. BSI (1983) British specification for aggregates from natural sources for concrete. BS 882: 1983. British Standards Institution, London.
13. Birch F (1961) The velocity of compressional waves in rocks 10 kbars. J Geophys Res 66(Part 2):2199-2224. doi:10.1029/JZ066i007p02199.
14. Ramamurthy T, Arora VK (1993) A classification for intact and jointed rocks. In: Anagnostopoulos A et al (eds) Geotechnical Engineering of Hard Soils-Soft Rocks. A.A. Balkema, Rotterdam, pp 235-242.
15. Hsu S-C, Nelson PP (2002) Characterization of eagle ford shale. Eng Geol 67:169-183. doi:10.1016/S0013-7952(02)00151-5.
16. Baykasoǧlu A, Dereli T, Tani{dotless}ş S (2004) Prediction of cement strength using soft computing techniques. Cement Concr Res 34:2083-2090. doi:10.1016/j.cemconres.2004.03.028.
17. Venkatesan D, Kannan K, Saravanan R (2008) A genetic algorithm-based artificial neural network model for the optimization of machining processes. Neural Comput Appl. doi:10.1007/s00521-007-0166-y.
18. Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13:87-129.
19. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. MIT Press, Cambridge.
20. Goldberg D (1989) Genetic algorithms in search, optimization and machine learning. Addison-Welsley, MA.
21. Zhou C, Xiao W, Tirpak TM, Nelson PC (2002) Discovery of classification rules by using gene expression programming, In: the proceedings of the 2002 international conference on artificial intelligence (IC-AI'02), Las Vegas, June, pp 1355-1361.
22. Dereli T, Baykasoǧlu A (2000) The use of artificial intelligence techniques in design and manufacturing. A review. Gazi Univ J Polytechnic 3:27-60.
23. Zupan J, Gasteiger J (1993) Neural networks for chemists. VCH Publishers, NY.
24. Wang D (1993) Pattern recognition: neural networks in perspective. IEEE Expert (August):52-60. doi:10.1109/64.223991.)
25. Nielsen DH (1988) Neurocomputing: picking the human brain. IEEE Spectr 25:36-41. doi:10.1109/6.4520.
26. Kohonen T (1988) An introduction to neural computing. Neural Netw 1:3-16. doi:10.1016/0893-6080(88)90020-2.
27. Elmas Ç (2003) Yapay Sinir Aǧlari{dotless}. Ankara. Seçkin Yayi{dotless}nci{dotless}li{dotless}k.
28. Ergün M (1995) SPSS for Windows. Ankara, Ocak Yayi{dotless}nlari{dotless}.
29. NeuroDimension Company. http://www.neurosolutions.com.
30. NeuNet Pro 2.2. http://www.cormactech.com/neunet.