Neural networks as material models within a multiscale approach

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 29.7K citations

Engineering, Machine Learning, Feature Learning +7

Training feedforward networks with the Marquardt algorithm

Martin Hagan, Mohammad Bagher Menhaj · IEEE Transactions on Neural Networks · 1994 · 7.6K citations

Nonlinear System Identification, Conjugate Gradient Algorithm, Engineering +10

Principal component analysis in linear systems: Controllability, observability, and model reduction

B. Moore · IEEE Transactions on Automatic Control · 1981 · 5.2K citations

Numerical Analysis, Engineering, Linear System +17

A scaled conjugate gradient algorithm for fast supervised learning

Martin F. Møller · Neural Networks · 1993 · 4K citations

Engineering, Machine Learning, Pattern Recognition +4

A direct adaptive method for faster backpropagation learning: the RPROP algorithm

Martin Riedmiller, Heinrich Braun · IEEE International Conference on Neural Networks · 2002 · 3.9K citations

Artificial Intelligence, Incremental Learning, Engineering +20