참고문헌
- Bazant, Z. P. and Kazemi, M. T., "Determination of Fracture Energy, Process Zone Length and Brittleness Number from Size Effect with Application to Rock and Concrete," XInt, J. Fract, Vol. 44, No. 2, 1990, pp. 111-131. https://doi.org/10.1007/BF00047063
- Bazant, Z. P. and Oh, B. H., "Crack Band Theory for Fracture Concrete," Mater. Struct. (RILEM), Vol. 16, No. 93, 1983, pp. 155-157.
- Hillerborg, A., Modeer, M., and Petersson, P. E., "Analysis of Crack Formation and Crack Growth in Concrete by Means of Fracture Mechanics and Finite Elements," Cem. Conc., Vol. 6, 1976, pp. 773-782. https://doi.org/10.1016/0008-8846(76)90007-7
- Jenq, Y. S. and Shah, S. P., "Two-Parameter Fracture Model for Concrete," ASCE J. Engr. Mech., Vol. 111, No. 10, 1985, pp. 1227-1241. https://doi.org/10.1061/(ASCE)0733-9399(1985)111:10(1227)
- Tang, T., Ouyang, C., and Shah, S. P., "A Simple Method for Determining Material Fracture Parameters from Peak Loads," ACI Mater. J., Vol. 93, No. 2, 1996, pp. 147-157.
- John, Y. S. and Shah, S. P., "Fracture Mechanics Analysis of High Strength Concrete," ASCE J. Mater. Civil. Engr., Vol. 1, No. 4, 1989, pp. 185-198. https://doi.org/10.1061/(ASCE)0899-1561(1989)1:4(185)
- Hilsdorf, H. H. and Brameshuber, W., "Code-Type Formulation of Fracture Mechanics Concepts for Concrete," Int. J. Fract., Vol. 51, No. 1, 1991, pp. 61-72. https://doi.org/10.1007/BF00020853
- Ragip, Ince., "Prediction of Fracture Parameters of Concrete by Artificial Neural Networks," Engineering Fracture Mechanics, Vol. 71, 2004, pp. 2143-2159. https://doi.org/10.1016/j.engfracmech.2003.12.004
- Park, D. and Rilett, L. R., "Forecasting Freeway Link Travel Times with a Multi-Layer Feed forward Neural Network," Computer Aided Civil and infra Structure Engineering, Vol. 14, 1999, pp. 358-367.
- Kecman, V., "Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models," MIT Press, Cambridge, Massachusetts, London, England, 2001.
- Liong, S. Y., Lim, W. H., and Paudyal, G. N., "River Stage Forecasting in Bangladesh: Neural Network Approach," Journal of Computing in Civil Engineering, Vol. 14, No. 1, 2000, pp. 1-8. https://doi.org/10.1061/(ASCE)0887-3801(2000)14:1(1)
- Suykens, J. A. K., Lukas, L., Van, D. P., De, M. B., and Vandewalle, J., "Least Squares Support Vector Machine Classifiers: a Large Scale Algorithm," In Proc. Eur. Conf. Circuit Theory and Design (ECCTD'99), Stresa, Italy, 1999, pp. 839-842.
- Vapnik, V. and Lerner, A., "Pattern Recognition Using Generalized Portrait Method," Automation and Remote Control, Vol. 24, 1963, pp. 774-780.
- Suykens, J. A. K., De, B. J., Lukas, L., and Vandewalle, J., "Weighted Least Squares Support Vector Machines: Robustness and Sparse Approximation," Neurocomput, Vol. 48, Nos. 1-4, 2002, pp. 85-105. https://doi.org/10.1016/S0925-2312(01)00644-0
피인용 문헌
- A self-tuning least squares support vector machine for estimating the pavement rutting behavior of asphalt mixtures pp.1433-7479, 2018, https://doi.org/10.1007/s00500-018-3400-x
- Optimizing the prediction accuracy of load-settlement behavior of single pile using a self-learning data mining approach vol.258, pp.2261-236X, 2019, https://doi.org/10.1051/matecconf/201925802010