Neural network as a function approximator and its application in solving differential equations

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.5K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 20.7K citations

Evolving Neural Network, Engineering, Machine Learning +5

A logical calculus of the ideas immanent in nervous activity

Warren S. McCulloch, Walter Pitts · Bulletin of Mathematical Biology · 1943 · 17.7K citations

Symbolic Learning, Cognitive Science, Computational Neuroscience +10

Approximation by superpositions of a sigmoidal function

George Cybenko · Mathematics of Control Signals and Systems · 1989 · 13.4K citations

Computational Neuroscience, Approximation Method, Inverse Problems +4

The perceptron: A probabilistic model for information storage and organization in the brain.

Frank F. Rosenblatt · Psychological Review · 1958 · 11.5K citations

Cognitive Science, Memory System, Associative Memory (Psychology) +10