1 |
Bazant, Z.P. and Kazemi, M.T. (1990), "Determination of fracture energy, process zone length and brittleness number from size effect with application to rock and concrete", Int. J. Fracture, 44(2), 111-31.
DOI
ScienceOn
|
2 |
Bazant, Z.P. and Oh, B.H. (1983), "Crack band theory for fracture concrete", Mater. Struct., 16(93), 155-177.
|
3 |
Bennett, K.P. and Mangasarian, O.L. (1992), "Robust linear programming discrimination of two linearly inseparable sets", Optim. Method. Softw., 1(1), 23-34.
DOI
ScienceOn
|
4 |
Boser, B.E., Guyon, I.M. and Vapnik, V.N. (1992), "A training algorithm for optimal margin classifiers", In D. Haussler, editor, 5th Annual ACM Workshop on COLT, Pittsburgh, PA, ACM Press, 144-152.
|
5 |
Cortes, C. and Vapnik, V.N. (1995), "Support vector networks machine learning", 20(3), 273-297.
|
6 |
Cristianini, N. and Shawe Taylor, J. (2000), "An introduction to support vector machine", Cambridge University press, London.
|
7 |
"Fuzzy Logic Models", The MIT press, Cambridge, Massachusetts, London, England.
|
8 |
Gualtieri, J.A., Chettri, S.R., Cromp, R..F. and Johnson, L.F. (1999), "Support vector machine classifiers as applied to AVIRIS data", In the Summaries of the Eighth JPL Airbrone Earth Science Workshop.
|
9 |
Samui, P., Kurup, P.U. and Sitharam, T.G. (2008), "OCR prediction using support vector machine based on piezocone data", J. Geotech. Geoenviron., 134(6), 894-898.
DOI
ScienceOn
|
10 |
Tang, T., Ouyang, C. and Shah, S.P. (1996), "A simple method for determining material fracture parameters from peak loads", ACI Mater. J., 93(2), 147-157.
|
11 |
Vapnik, V.N. (1995), The nature of statistical learning theory, Springer, New York.
|
12 |
Jenq, Y.S. and Shah, S.P. (1985), "Two-parameter fracture model for concrete", J. Eng. Mech.-ASCE, 111(10), 1227-1241.
DOI
ScienceOn
|
13 |
Hillerborg, A., Modeer, M. and Petersson, P.E. (1976), "Analysis of crack formation and crack growth in concrete by means of fracture mechanics and finite elements", Cement Concrete, 6(6), 773-781.
DOI
ScienceOn
|
14 |
Hilsdorf, H.H. and Brameshuber, W. (1991), "Code-type formulation of fracture mechanics concepts for concrete", Int. J. Fracture, 51(1), 61-72.
DOI
ScienceOn
|
15 |
Ince, R. (2004), "Prediction of fracture parameters of concrete by Artificial Neural Networks", Eng. Fract. Mech., 71(15), 2143-2159.
DOI
ScienceOn
|
16 |
Kecman, V. (2001), Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy logic Models, The MIT Press, Cambridge, MA, 2001.
|
17 |
Liong, S.Y., Lim, W.H. and Paudyal, G.N. (2000), "River stage forecasting in Bangladesh: neural network approach", J. Comput. Civil Eng., 14(1), 1-8.
DOI
ScienceOn
|
18 |
Mukherjee, S., Osuna, E. and Girosi, F. (1997), "Nonlinear prediction of chaotic time series using support vector machine", Proc., IEEE Workshop on Neural Networks for Signal Processing 7, Institute of Electrical and Electronics Engineers, New York, 511-519.
|
19 |
Muller, K.R., Smola, A., Ratsch, G., Scholkopf, B., Kohlmorgen, J. and Vapnik, V. (1997), "Predicting time series with support vector machines", Proc., Int. Conf. on Artificial Neural Networks, Springer-Verlag, Berlin.
|
20 |
Nallathambi, P. and Karihaloo, B.L. (1986), "Determination of the specimen size independent fracture toughness of plain concrete", Mag. Concrete Res., 38(135), 67-76.
DOI
ScienceOn
|
21 |
Park, D. and Rilett, L.R. (1999), "Forecasting freeway link travel times with a multi-layer feed forward neural network", Comput.-Aided Civ. Inf., 14(5), 358-367.
|
22 |
Samui, P. (2008), "Support vector machine applied to settlement of shallow foundations on cohesionless soils", Comput. Goetech., 35(3), 419-427.
DOI
ScienceOn
|