Deep Learning Beyond CS

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

2016

期刊 Journal of Fluid Mechanics 有全文

作者 Julia Ling · Andrew Kurzawski · Jeremy Templeton

A predictive machine learning approach for microstructure optimization and materials design

2015

期刊 Scientific Reports 有全文

作者 Ruoqian Liu · Abhishek Kumar · Zhengzhang Chen · Ankit Agrawal · Veera Sundararaghavan · Alok Choudhary

Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

2015

期刊 Physics of Fluids 有全文

作者 J. Ling · J. Templeton

Probability Measures for Numerical Solutions of Diﬀerential Equations

2015

期刊 eprint arXiv:1506.04592 有全文

作者 Patrick R. Conrad · Mark Girolami · Simo Särkkä · Andrew Stuart · Konstantinos Zygalakis

A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations

2014

期刊 IEEE Transactions on Neural Networks and Learning Systems 有全文

作者 Keith Rudd · Gianluca Di Muro · Silvia Ferrari

Comparison of Artificial Neural Network Architecture in Solving Ordinary Differential Equations

2013

期刊 Advances in Artificial Neural Systems 有全文

作者 Susmita Mall · S. Chakraverty

Solving Partial Diﬀerential Equations Using Artiﬁcial Neural Networks

2013

学位论文 Duke Dissertations 有全文

作者 Keith Rudd

Artificial Neural Networks Approach for Solving Stokes Problem

2010

期刊 Applied Mathematics 有全文

作者 Modjtaba Baymani · Asghar Kerayechian · Sohrab Effati

Solving differential equations with constructed neural networks

2009

期刊 Neurocomputing 有全文

作者 Ioannis G. Tsoulos · Dimitris Gavrilis · Euripidis Glavas

Kernel techniques: From machine learning to meshless methods

2006

期刊 Acta Numerica 有全文

作者 Robert Schaback · Holger Wendland

Solving differential equations with unsupervised neural networks

2003

期刊 Chemical Engineering and Processing: Process Intensification 有全文

作者 Daniel R Parisi · Marı́a C Mariani · Miguel A Laborde

Artificial neural networks for solving ordinary and partial differential equations

1998

期刊 IEEE Transactions on Neural Networks 有全文

作者 I.e. Lagaris · A. Likas · D.i. Fotiadis

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Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

A predictive machine learning approach for microstructure optimization and materials design

Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

Probability Measures for Numerical Solutions of Diﬀerential Equations

A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations

Comparison of Artificial Neural Network Architecture in Solving Ordinary Differential Equations

Solving Partial Diﬀerential Equations Using Artiﬁcial Neural Networks

Artificial Neural Networks Approach for Solving Stokes Problem

Solving differential equations with constructed neural networks

Kernel techniques: From machine learning to meshless methods

Solving differential equations with unsupervised neural networks

Artificial neural networks for solving ordinary and partial differential equations