kanicka's library 34 articles Export

	GAME – Hybrid Self-Organizing Modeling System Based on GMDH [My Copy] Hybrid Self-Organizing Modeling Systems (2009), pp. 233-280. by Pavel Kordík posted to neural_networks multi-layered_perceptron by kanicka on 2009-10-10 12:36:34 as
	Spectral stochastic finite element analysis for laminated composite plates [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 197, No. 51-52. (15 October 2008), pp. 4830-4839. by N. Chen, C. Guedes Soares posted to stochastic_finite_elements random_fields polynomial_chaos karhunen-loeve by kanicka on 2009-08-17 15:41:39 as
	Estimating the approximation error when fixing unessential factors in global sensitivity analysis [My Copy] Reliability Engineering & System Safety, Vol. 92, No. 7. (July 2007), pp. 957-960. by I. Sobol, S. Tarantola, D. Gatelli, S. Kucherenko, W. Mauntz posted to global_sensitivity_analysis sobol by kanicka on 2009-06-23 11:24:51 as
	Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates [My Copy] Math. Comput. Simul., Vol. 55, No. 1-3. (2001), pp. 271-280. by I. M. Sobol posted to global_sensitivity_analysis sobol by kanicka on 2009-06-23 10:51:10 as
	Polynomial chaos expansion for sensitivity analysis [My Copy] Reliability Engineering & System Safety, Vol. 94, No. 7. (July 2009), pp. 1161-1172. by Thierry Crestaux, Olivier Le Maıˆtre, Jean-Marc Martinez posted to global_sensitivity_analysis polynomial_chaos sobol by kanicka on 2009-06-23 10:48:09 as along with 1 person nurban
	The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations [My Copy] SIAM J. Sci. Comput., Vol. 24, No. 2. (2002), pp. 619-644. by Dongbin Xiu, George E. Karniadakis posted to polynomial_chaos spectral_methods stochastic_finite_elements by kanicka on 2009-06-22 14:30:33 as
	Neural networks for computing in fracture mechanics. Methods and prospects of applications [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 106, No. 1-2. (July 1993), pp. 213-228. by P. Theocaris, P. D. Panagiotopoulos posted to constitutive_modelling multi-layered_perceptron neural_networks by kanicka on 2009-04-24 22:54:00 as
	Generalised hardening plasticity approximated via anisotropic elasticity: A neural network approach [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 125, No. 1-4. (01 September 1995), pp. 123-139. by P. Theocaris, P. D. Panagiotopoulos posted to constitutive_modelling multi-layered_perceptron neural_networks by kanicka on 2009-04-24 22:39:45 as
	One-dimensional model of cable-in-conduit superconductors under cyclic loading using artificial neural networks [My Copy] Fusion Engineering and Design, Vol. 60, No. 2. (May 2002), pp. 105-117. by M. Lefik, B. A. Schrefler posted to constitutive_modelling multi-layered_perceptron neural_networks by kanicka on 2009-04-24 22:29:11 as
	On self-learning finite element codes based on monitored response of structures [My Copy] Computers and Geotechnics, Vol. 27, No. 3. (October 2000), pp. 161-178. by H. Shin, G. N. Pande posted to constitutive_modelling multi-layered_perceptron neural_networks by kanicka on 2009-04-24 22:05:04 as
	Autoprogressive training of neural network constitutive models [My Copy] International Journal for Numerical Methods in Engineering, Vol. 42, No. 1. (1998), pp. 105-126. by Jamshid Ghaboussi, David A. Pecknold, Mingfu Zhang, Rami M. Haj-Ali posted to constitutive_modelling neural_networks by kanicka on 2009-04-24 21:52:25 as
	Neural network modeling of sorption isotherms of longan (Dimocarpus longan Lour.) [My Copy] Computers and Electronics in Agriculture, Vol. 66, No. 2. (May 2009), pp. 209-214. by S. Janjai, P. Intawee, K. Tohsing, et al.B. Mahayothee, B. K. Bala, M. A. Ashraf, J. Müller posted to moisture multi-layered_perceptron neural_networks by kanicka on 2009-04-24 16:09:32 as
	Artificial neural network and mathematical modeling comparative analysis of nonisothermal diffusion of moisture in wood [My Copy] Holz als Roh- und Werkstoff, Vol. 65, No. 2. (April 2007), pp. 89-93. by Avramidis, Stavros, Wu, Hongwei posted to moisture neural_networks by kanicka on 2009-04-24 16:04:01 as
	Back analysis of model parameters in geotechnical engineering by means of soft computing [My Copy] International Journal for Numerical Methods in Engineering, Vol. 57, No. 14. (2003), pp. 1943-1978. by B. Pichler, R. Lackner, H. A. Mang posted to inverse_problems multi-layered_perceptron neural_networks by kanicka on 2009-04-24 15:36:34 as
	ANN inverse analysis based on stochastic small-sample training set simulation [My Copy] Engineering Applications of Artificial Intelligence In Special issue on Engineering Applications of Neural Networks - Novel Applications of Neural Networks in Engineering, Special issue on Engineering Applications of Neural Networks - Novel Applications of Neural Networks in Engineering, Vol. 19, No. 7. (October 2006), pp. 731-740. by Drahomir Novak, David Lehky posted to inverse_problems lhs neural_networks by kanicka on 2009-04-24 15:16:47 as along with 2 people flavio48 jenda_z
	Coupling of scales in a multiscale simulation using neural networks [My Copy] Computers & Structures, Vol. In Press, Corrected Proof by Jörg F. Unger, Carsten Könke posted to multiscale neural_networks by kanicka on 2009-04-24 15:01:16 as along with 1 person jenda_z
	Artificial neural network as an incremental non-linear constitutive model for a finite element code [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 192, No. 28-30. (July 2003), pp. 3265-3283. by M. Lefik, B. A. Schrefler posted to constitutive_modelling neural_networks by kanicka on 2009-04-24 14:35:06 as
	ANN approach to sorption hysteresis within a coupled hygro-thermo-mechanical FE analysis [My Copy] International Journal for Numerical Methods in Engineering, Vol. 50, No. 2. (2001), pp. 299-323. by D. Gawin, M. Lefik, B. A. Schrefler posted to heat moisture neural_networks by kanicka on 2009-04-24 14:29:34 as
	Markov Chain Monte Carlo in Practice [My Copy] (01 December 1995) by W. R. Gilks, S. Richardson, D. Spiegelhalter posted to mcmc by kanicka on 2009-04-22 14:12:39 as along with 17 people and 1 group carmenrg famuvie SargeATM mthomure ppeeling rpadams eme Borelli metamerist wasteland93 lcigler Xavier roys fredguilloux ldietz markusd przem astro
	The role of embedded integration rules in Bayesian statistics [My Copy] Statistics and Computing, Vol. 6, No. 3. (1 September 1996), pp. 245-250. by Ronald Cools, Petros Dellaportas posted to bayes inverse_problems by kanicka on 2009-04-22 14:09:13 as
	Monte Carlo analysis of inverse problems [My Copy] Inverse Problems, Vol. 18, No. 3. (2002), pp. R29-R54. by Klaus Mosegaard, Malcolm Sambridge posted to inverse_problems mcmc by kanicka on 2009-04-22 13:31:56 as
	Using Bayesian statistics in the estimation of heat source in radiation [My Copy] International Journal of Heat and Mass Transfer, Vol. 48, No. 1. (January 2005), pp. 15-29. by J. Wang, N. Zabaras posted to bayes heat inverse_problems by kanicka on 2009-04-21 12:52:18 as
	Hierarchical Bayesian models for inverse problems in heat conduction [My Copy] Inverse Problems, Vol. 21, No. 1., 183. by Jingbo Wang, Nicholas Zabaras posted to bayes heat inverse_problems by kanicka on 2009-04-21 12:47:13 as
	Parsimonious Bayesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem [My Copy] Geophysical Journal International, Vol. 151, No. 3. (2002), pp. 675-688. by Alberto Malinverno posted to bayes inverse_problems by kanicka on 2009-04-21 12:35:45 as along with 1 person dah
	Statistical and Computational Inverse Problems (Applied Mathematical Sciences) (v. 160) [My Copy] (01 December 2004) by Jari Kaipio, Erkki Somersalo posted to bayes inverse_problems by kanicka on 2009-04-21 12:23:18 as along with 1 person rily
	Parameter Estimation and Inverse Problems (International Geophysics) [My Copy] (11 January 2005) by Richard Aster, Brian Borchers, Clifford Thurber posted to bayes inverse_problems by kanicka on 2009-04-21 12:13:25 as along with 2 people fjanoos rily
	Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations [My Copy] Computer Methods in Applied Mechanics and Engineering In Special Issue on Computational Methods in Stochastic Mechanics and Reliability Analysis, Vol. 194, No. 12-16. (8 April 2005), pp. 1295-1331. by Hermann G. Matthies, Andreas Keese posted to karhunen-loeve mcmc polynomial_chaos stochastic_finite_elements white_noise by kanicka on 2009-04-02 15:42:52 as along with 1 person jenda_z
	Probabilistic Approach to Inverse Problems [My Copy] In International Handbook of Earthquake & Engineering Seismology, No. Part A. (2002), pp. 237-265. by K. Mosegaard, A. Tarantola posted to bayes inverse_problems mcmc by kanicka on 2009-04-02 15:25:48 as
	Inverse Problem Theory and Methods for Model Parameter Estimation [My Copy] (20 December 2004) by Albert Tarantola posted to bayes inverse_problems mcmc by kanicka on 2009-04-02 15:15:28 as along with 3 people iannis rily sbarthelme
	Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems [My Copy] Journal of Computational Physics, Vol. 228, No. 6. (01 April 2009), pp. 1862-1902. by Youssef M. Marzouk, Habib N. Najm posted to bayes inverse_problems karhunen-loeve mcmc polynomial_chaos by kanicka on 2009-04-02 14:58:51 as along with 2 people nurban markstoehr
	Stochastic spectral methods for efficient Bayesian solution of inverse problems [My Copy] Journal of Computational Physics, Vol. 224, No. 2. (10 June 2007), pp. 560-586. by Youssef M. Marzouk, Habib N. Najm, Larry A. Rahn posted to bayes inverse_problems mcmc polynomial_chaos spectral_methods by kanicka on 2009-04-02 14:55:18 as along with 2 people nurban khachsar
	Popper, Bayes and the inverse problem [My Copy] Nature Physics In Nat Phys, Vol. 2, No. 8. (01 August 2006), pp. 492-494. by Albert Tarantola posted to bayes inverse_problems popper by kanicka on 2009-04-02 14:49:33 as along with 3 people thyk fastjoe23 ShureG
	Artificial Neural Networks in numerical modelling of composites [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 198, No. 21-26. (01 May 2009), pp. 1785-1804. by M. Lefik, D. P. Boso, B. A. Schrefler posted to composites constitutive_modelling homogenization multi-layered_perceptron multiscale neural_networks by kanicka on 2009-04-02 14:32:47 as
	Probabilistic analysis of concrete cracking using neural networks and random fields [My Copy] Probabilistic Engineering Mechanics, Vol. 22, No. 2. (April 2007), pp. 219-229. by T. Most, C. Bucher posted to concrete lhs neural_networks random_fields response_surfaces by kanicka on 2009-04-02 14:22:25 as

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neural_networks	15
inverse_problems	14
bayes	11
multi-layered_perceptron	8
mcmc	7
constitutive_modelling	7
polynomial_chaos	6
sobol	3
moisture	3
karhunen-loeve	3
heat	3
stochastic_finite_elements	3
global_sensitivity_analysis	3
random_fields	2
spectral_methods	2
multiscale	2
lhs	2
popper	1
homogenization	1
white_noise	1
composites	1
concrete	1
response_surfaces	1

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