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Том 1, 2020 / Выпуск 2

DOI: 10.1615/JMachLearnModelComput.v1.i2

Table of Contents:

LEARNING REDUCED SYSTEMS VIA DEEP NEURAL NETWORKS WITH MEMORY Xiaohan Fu, Lo-Bin Chang, Dongbin Xiu

Xiaohan Fu
Department of Statistics, The Ohio State University, Columbus, Ohio 43210, USA

Lo-Bin Chang
Department of Statistics, The Ohio State University, Columbus, Ohio 43210, USA

Dongbin Xiu
Department of Mathematics, The Ohio State University, Columbus, 43210 Ohio, USA

97-118 страниц
DOI: 10.1615/.2020034232

A SURVEY OF CONSTRAINED GAUSSIAN PROCESS REGRESSION: APPROACHES AND IMPLEMENTATION CHALLENGES Laura P. Swiler, Mamikon Gulian, Ari L. Frankel, Cosmin Safta, John D. Jakeman

Laura P. Swiler
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, P.O. Box 5800, Albuquerque, New Mexico 87123-1320, USA

Mamikon Gulian
Center for Computing Research, Sandia National Laboratories, Albuquerque, NM, 87123

Ari L. Frankel
Sandia National Laboratories, Livermore, California 94551, USA

Cosmin Safta
P.O.Box 969, MS 9051; Computational Science and Analysis, Sandia National Laboratories, Livermore, CA, 94551

John D. Jakeman
Optimization and Uncertainty Quantification, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87123, USA

119-156 страниц
DOI: 10.1615/JMachLearnModelComput.2020035155

A NOTE ON APPLICABILITY OF ARTIFICIAL INTELLIGENCE TO CONSTITUTIVE MODELING OF GEOMATERIALS Mehdi Pouragha, Mahdad Eghbalian, Richard Wan

Mehdi Pouragha
Department of Civil and Environmental Engineering, Carleton University, Ottawa, Canada, ON K1S 5B6

Mahdad Eghbalian
Civil Engineering Department, Schulich School of Engineering, University of Calgary, AB T2N 1N4, Canada

Richard Wan
Civil Engineering Department, Schulich School of Engineering, University of Calgary, AB T2N 1N4, Canada

157-170 страниц
DOI: 10.1615/JMachLearnModelComput.2020036318

CONTENTS, VOLUME 1, 2020 171-173 страниц
DOI: 10.1615/JMachLearnModelComput.v1.i2.40

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