Neural Networks for Slope Movement Prediction
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[1] Kenneth Levenberg. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .
[2] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[3] David F. Shanno,et al. Conjugate Gradient Methods with Inexact Searches , 1978, Math. Oper. Res..
[4] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[5] Yann LeCun,et al. Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks) , 1985 .
[6] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[7] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .
[8] CONTINUUM MODEL FOR NATURAL SLOPES IN SLOW MOVEMENT , 1988 .
[9] L. Vulliet,et al. SET OF CONSTITUTIVE MODELS FOR SOILS UNDER SLOW MOVEMENT , 1988 .
[10] C. S. Desai,et al. Viscoplasticity and finite elements for landslide analysis , 1989 .
[11] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[12] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[13] James H. Garrett,et al. Use of neural networks in detection of structural damage , 1992 .
[14] Roberto Battiti,et al. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method , 1992, Neural Computation.
[15] Allan Pinkus,et al. Multilayer Feedforward Networks with a Non-Polynomial Activation Function Can Approximate Any Function , 1991, Neural Networks.
[16] A. Goh. Seismic liquefaction potential assessed by neural networks , 1994 .
[17] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[18] Prabhat Hajela,et al. Damage Detection in Structures Based on Feature‐Sensitive Neural Networks , 1994 .
[20] Mohammad Bagher Menhaj,et al. Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.
[21] Carsten Peterson,et al. Finding the Embedding Dimension and Variable Dependencies in Time Series , 1994, Neural Computation.
[22] Laurent Vulliet,et al. Constitutive modeling and analysis of creeping slopes , 1995 .
[23] Jamshid Ghaboussi,et al. Active Control of Structures Using Neural Networks , 1995 .
[24] Rui Zhao,et al. Stress-Strain Modeling of Sands Using Artificial Neural Networks , 1995 .
[25] Predicting large displacements of landslides. , 1995 .
[26] Trefor P. Williams,et al. NEURAL NETWORKS FOR BACKCALCULATION OF MODULI FROM SASW TEST , 1995 .
[27] Yacoub M. Najjar,et al. On the identification of compaction characteristics by neuronets , 1996 .
[28] In Mo Lee,et al. Prediction of pile bearing capacity using artificial neural networks , 1996 .
[29] Jamshid Ghaboussi,et al. Neural Network Constitutive Models Determined from Structural Tests , 1996 .
[30] Anthony T. C. Goh,et al. PREDICTION OF PILE CAPACITY USING NEURAL NETWORKS , 1997 .
[31] Philippe L. Bourdeau,et al. Assessing the Liquefaction Susceptibility at a Site Based on Information from Penetration Testing , 1997 .
[32] P. Aleotti,et al. Landslide hazard assessment: summary review and new perspectives , 1999 .
[33] J. Corominas,et al. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques , 2001 .