A fast converging evolutionary neural network for the prediction of uplift capacity of Suction Caissons

2004 IEEE Conference on Cybernetics and Intelligent Systems

Volumn , Issue , 2004, Pages 653-658

  Pai, G A Vijayalakshmi ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Evolutionary Neural Networks; Genetic Algorithms based weight determination; Short term reproduction expectancy; Suction Caissons

Indexed keywords

CAISSONS; CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; GEOTECHNICAL ENGINEERING; LEARNING SYSTEMS; PROBLEM SOLVING;

EVOLUTIONARY NEURAL NETWORKS (ENN); GENETIC ALGORITHMS BASED WEIGHT DETERMINATION; SHORT TERM REPRODUCTION EXPECTANCY; SUCTION CAISSONS;

NEURAL NETWORKS;

EID: 11244355069     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. David J Montana, Neural Network Weight Selection Using Genetic Algorithms, In: Goonatilake, S., Khebbal, S. (eds.): Intelligent Hybrid Systems, 1995.
2. S. Rajasekaran, G. A. Vijayalakshmi Pai, Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications, Prentice Hall of India, 2003.
3. A. J. F. Van Rooij, L. C. Jain, R. P. Johnson, Neural Network Training Using Genetic Algorithms, World Scientific Pub. Co., 1996.
4. Yao, Xin: Evolving Artificial Neural Networks, Proc. Of the IEEE, 87(9), 1423-1447, 1999.
5. T. Back, Evolutionary Algorithms in theory and practice, Oxford University Press, 1996.
6. Syswerda Gilbert, A study of reproduction in Generational and Steady state Genetic Algorithms, Proc. Of the Foundations of Genetic Algorithm Workshop, Indiana, July 1990.
7. Whitley Darrel, An overview of Evolutionary Algorithms: Practical issues and common pitfalls, Journal of Information and Software Technology, 43: pp. 817-831, 2001.
8. Whitley Darrell, Genetic Algorithms and Evolutionary Computing, Van Nostrand's Scientific Encylopedia, 2002.
9. M. S. Rahman, J. Wang, W. Deng, J. P. Carter, A Neural Network Model for the Uplift Capacity Of Suction Caissons, Computers And Geotechnics, 28, pp. 269-287, 2001.
10. J. Holland., Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975.
11. A. De Jong Kenneth and Sarma Jayshree, Generation gaps revisited, in Foundations of Genetic Algorithms 2, Darrel Whitley (ed.), pp. 19-28, Morgan Kaufmann, 1992.
12. A. De Jong Kenneth and Sarma Jayshree, Generation gap methods, The Handbook of Evolutionary Computation, D Fogel, T Baeck and Z Michalewicz, (eds.), pp. C2 7:1-C2 7:6, IOP publishing house and Oxford University Press, 1997.
13. T. Tjelta, P. Aas, J. Hermstad, E. Andenaes, The Skirt Piled Gullfaks C Platform Installation, Proc Of Offshore Technology Conference, OTC 6473:452-62, 1990.
14. P. Hefer, Oil and Gas Floating Facility to be anchored in 390m Deep Timor Sea, Civil Engineers Australia, 40(1), 1998.
15. W. Deng, J. P. Carter, Inclined Uplift Capacity Of Suction Caissons In Sand, Proc. of Offshore Technology Conference, 2000.
16. W. Deng, J. P. Carter, Uplift Capacity of Suction Anchors In Uniform Soils, Proc. Of Geo Eng., 2000.
17. G. A. Vijayalakshmi Pai, Prediction of uplift capacity of suction caissons using a Neuro-Genetic network, Intl. J. of Engineering with Computers, 2003 (under review).