Learning State Space Trajectories in Recurrent Neural Networks

Optimization by Simulated Annealing

1983 • 42,775 citations

“Neural” computation of decisions in optimization problems

1985 • 5,940 citations

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

1989 • 4,222 citations

A Learning Algorithm for Boltzmann Machines*

1985 • 3,285 citations

Beyond regression : new fools for prediction and analysis in the behavioral sciences

1974 • 2,830 citations

Phoneme recognition using time-delay neural networks

1989 • 2,556 citations

Generalization of back-propagation to recurrent neural networks

1987 • 938 citations

Generalization of backpropagation with application to a recurrent gas market model

1988 • 927 citations

Attractor dynamics and parallelism in a connectionist sequential machine

1986 • 788 citations

A Steepest-Ascent Method for Solving Optimum Programming Problems

1962 • 476 citations

A mean field theory learning algorithm for neural networks

1987 • 425 citations

Learning state space trajectories in recurrent neural networks

1989 • 180 citations

On simple moving grid methods for one-dimensional evolutionary partial differential equations

1986 • 4 citations