Mathematics and Computers in Simulation · 2019 · 15 citations · 26 references
ComputingComputer ScienceMathematicsDifferential EquationsMachine LearningIntegral Equation FormulationsIntegral EquationsNeural NetworksNumerical IntegrationNumerical Methods For Differential EquationsPartial Differential EquationsFredholm Integral EquationsIntegral Equation KernelsLinear Integral EquationsNonlinear Integral EquationsNumerical Methods For Integral Equations
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Learning representations by back-propagating errors
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations
Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations
Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., WhiteH. · Neural Networks · 1989 · 9.4K citations
Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9.2K citations
Engineering, Educational Psychology, Cognitive Psychology +7