On neural differential equations
<p>The conjoining of dynamical systems and deep learning has become a topic of great interest. In particular, neural differential equations (NDEs) demonstrate that neural networks and differential equation are two sides of the same coin. Traditional parameterised differential equations are a s...
المؤلف الرئيسي: | Kidger, P |
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مؤلفون آخرون: | Lyons, T |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2021
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الموضوعات: |
مواد مشابهة
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Learning nonlinear integral operators via recurrent neural networks and its application in solving integro-differential equations
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Stochastic ordinary and stochastic partial differential equations : transition from microscopic to macroscopic equations /
حسب: 272186 Kotelenez, Peter
منشور في: (2008) -
Stochastic stability of differential equations : translated by D. Louvish /
حسب: Has'minskii, R. Z., وآخرون
منشور في: (1980) -
Stochastic Runge-Kutta method for stochastic delay differential equations /
حسب: Norhayati Rosli, 1981-
منشور في: (2012) -
Stochastic Runge-Kutta method for stochastic delay differential equations /
حسب: Norhayati Rosli, 1981-, وآخرون
منشور في: (2012)