Keith Rudd, Ph.D.
Affiliations: | 2013 | Mechanical Engineering and Materials Science | Duke University, Durham, NC |
Area:
MathematicsGoogle:
"Keith Rudd"Parents
Sign in to add mentorSilvia Ferrari | grad student | 2013 | Duke | |
(Solving Partial Differential Equations Using Artificial Neural Networks.) |
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Publications
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Rudd K, Foderaro G, Zhu P, et al. (2017) A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems Ieee Transactions On Robotics. 33: 1226-1232 |
Rudd K, Ferrari S. (2015) A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks Neurocomputing. 155: 277-285 |
Rudd K, Di Muro G, Ferrari S. (2014) A constrained backpropagation approach for the adaptive solution of partial differential equations. Ieee Transactions On Neural Networks and Learning Systems. 25: 571-84 |
Rudd K, Albertson JD, Ferrari S. (2014) Optimal root profiles in water-limited ecosystems Advances in Water Resources. 71: 16-22 |
Rudd K, Foderaro G, Ferrari S. (2013) A generalized reduced gradient method for the optimal control of multiscale dynamical systems Proceedings of the Ieee Conference On Decision and Control. 3857-3863 |