-
2
-
-
0030121497
-
Artificial neural networks for predicting the macromechanical behaviour of ceramic-matrix composites
-
Rao H.S., and Mukherjee A. Artificial neural networks for predicting the macromechanical behaviour of ceramic-matrix composites. Comput Mater Sci 5 April (1996) 307-322
-
(1996)
Comput Mater Sci
, vol.5
, Issue.April
, pp. 307-322
-
-
Rao, H.S.1
Mukherjee, A.2
-
3
-
-
0028459980
-
Methodology for relating the tensile constitutive behavior of ceramic-matrix composites to constituent properties
-
Evans A.G., Domergue J.M., and Vagaggini E. Methodology for relating the tensile constitutive behavior of ceramic-matrix composites to constituent properties. J Am Ceram Soc 77 (1994) 1425-1435
-
(1994)
J Am Ceram Soc
, vol.77
, pp. 1425-1435
-
-
Evans, A.G.1
Domergue, J.M.2
Vagaggini, E.3
-
4
-
-
0028484874
-
The physics and mechanics of fiber-reinforced brittle-matrix composites
-
Evans A.G., and Zok F.W. The physics and mechanics of fiber-reinforced brittle-matrix composites. J Mater Sci 29 (1994) 3857-3896
-
(1994)
J Mater Sci
, vol.29
, pp. 3857-3896
-
-
Evans, A.G.1
Zok, F.W.2
-
6
-
-
34447293435
-
-
Elsevier, New York
-
Aboudi J. Mechanics of Composite Materials. Science (1991), Elsevier, New York
-
(1991)
Science
-
-
Aboudi, J.1
-
7
-
-
0342525302
-
Micromechanical prediction of the effective coefficients of thermo-piezoeletric multiphase composites
-
Aboudi J. Micromechanical prediction of the effective coefficients of thermo-piezoeletric multiphase composites. J Intel Mat Syst Str 9 September (1998) 713-720
-
(1998)
J Intel Mat Syst Str
, vol.9
, Issue.September
, pp. 713-720
-
-
Aboudi, J.1
-
9
-
-
0030290648
-
Acquiring the constitutive relationship for a thermal viscoplastic material using an artificial neural network
-
Qingbin L., Zhong J., Mabao L., and Shichun W. Acquiring the constitutive relationship for a thermal viscoplastic material using an artificial neural network. J Mater Process Technol 62 Nov (1996) 206-210
-
(1996)
J Mater Process Technol
, vol.62
, Issue.Nov
, pp. 206-210
-
-
Qingbin, L.1
Zhong, J.2
Mabao, L.3
Shichun, W.4
-
10
-
-
0033740232
-
Prediction of the flow stress of high-speed steel during hot deformation using a BP artificial neural network
-
Liu J., Chang H., Hsu T.Y., and Ruan X. Prediction of the flow stress of high-speed steel during hot deformation using a BP artificial neural network. J Mater Process Technol 66 (2000) 200-205
-
(2000)
J Mater Process Technol
, vol.66
, pp. 200-205
-
-
Liu, J.1
Chang, H.2
Hsu, T.Y.3
Ruan, X.4
-
11
-
-
0035394149
-
Modeling of the effect of the hot-deformation parameters on the strength of Al-base metal-matrix composites by the use of a radial-base function (RBF) network
-
Jalham I.S., and Barghash M. Modeling of the effect of the hot-deformation parameters on the strength of Al-base metal-matrix composites by the use of a radial-base function (RBF) network. Compos Sci Technol (2001) 1225-1231
-
(2001)
Compos Sci Technol
, pp. 1225-1231
-
-
Jalham, I.S.1
Barghash, M.2
-
12
-
-
0037213597
-
Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites
-
Jalham I.S. Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites. Compos Sci Technol (2003) 63-67
-
(2003)
Compos Sci Technol
, pp. 63-67
-
-
Jalham, I.S.1
-
13
-
-
0036999771
-
Parameter estimation using a connectionist constitutive model for aluminum 7075 alloy smart engineering system design
-
Sen S., and Twomey J. Parameter estimation using a connectionist constitutive model for aluminum 7075 alloy smart engineering system design. Neural Network 12 (2002) 889-894
-
(2002)
Neural Network
, vol.12
, pp. 889-894
-
-
Sen, S.1
Twomey, J.2
-
14
-
-
0035396126
-
Simulated micromechanical models using artificial neural networks
-
Haj-Ali R., Pecknold D.A., Ghaboussi J., and Voyiadjis G.Z. Simulated micromechanical models using artificial neural networks. J Eng Mech July (2001) 730-738
-
(2001)
J Eng Mech
, Issue.July
, pp. 730-738
-
-
Haj-Ali, R.1
Pecknold, D.A.2
Ghaboussi, J.3
Voyiadjis, G.Z.4
-
15
-
-
0035732110
-
A new inverse method of elastic constants for a fibre-reinforced composite plate from laser-based ultrasonic lamb waves
-
Jing Y., and Jian-Chun C. A new inverse method of elastic constants for a fibre-reinforced composite plate from laser-based ultrasonic lamb waves. Chinese Phys Lett 18 (2001) 1620-1623
-
(2001)
Chinese Phys Lett
, vol.18
, pp. 1620-1623
-
-
Jing, Y.1
Jian-Chun, C.2
-
16
-
-
0034564603
-
Artificial neural networks: fundamentals, computing, design, and application
-
Basheer I.A., and Hajmeer M. Artificial neural networks: fundamentals, computing, design, and application. J Microbiol Meth 43 (2000) 3-31
-
(2000)
J Microbiol Meth
, vol.43
, pp. 3-31
-
-
Basheer, I.A.1
Hajmeer, M.2
-
17
-
-
34447293890
-
-
® R14, Neural Network Toolbox. 1992-2006 (Computer Software). Matick, MA: The MathWorks, Inc.
-
-
-
-
19
-
-
34447292022
-
-
Wilt TE, Arnold SM. Micromechanics analysis code (MAC3D) User's Guide, NASA Glenn Research Center.
-
-
-
-
20
-
-
34447287720
-
-
Demuth H, Beale M. Neural network toolbox, for use with Matlab-User's Guide, Version 4, The MathWorks, 2001.
-
-
-
-
21
-
-
0001025418
-
Bayesian interpolation
-
MacKay D.J.C. Bayesian interpolation. Neural Comput 4 (1992) 415-447
-
(1992)
Neural Comput
, vol.4
, pp. 415-447
-
-
MacKay, D.J.C.1
-
22
-
-
0030702721
-
-
Foresee FD, Hagan MT. Gauss-Newton approximation to Bayesian learning. In: Proceedings of the 1997 international joint conference of neural networks 1997; p. 1930-5.
-
-
-
-
23
-
-
0002704818
-
A practical bayesian framework for backprop networks
-
MacKay D.J.C. A practical bayesian framework for backprop networks. Neural Comput 4 (1992) 448-472
-
(1992)
Neural Comput
, vol.4
, pp. 448-472
-
-
MacKay, D.J.C.1
-
24
-
-
0000372206
-
Bayesian model comparison and backprop nets
-
MacKay D.J.C. Bayesian model comparison and backprop nets. NIPS (1991) 839-846
-
(1991)
NIPS
, pp. 839-846
-
-
MacKay, D.J.C.1
|