John G. Taylor
: A silicon model of vertebrate retinal processing.
Paul J. Werbos
: Consistency of HDP applied to a simple reinforcement learning problem.
Stephen I. Gallant
: A connectionist learning algorithm with provable generalization and scaling bounds.
, W. T. Tsai
: Constructing associative memories using neural networks.
: Associative memory neural networks with concatenated vectors and nonzero diagonal terms.
Andrew R. Webb
, David Lowe
: The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis.
: Topographic organization of nerve field with teacher signal.
David H. Wolpert
: Constructing a generalizer superior to NETtalk via a mathematical theory of generalization.
M. A. Styblinski
, Tian-Shen Tang
: Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing.
, S. Gagné
: Neural network architectures for motion perception and elementary motion detection in the fly visual system.
: Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings.
: SuperSAB: Fast adaptive back propagation with good scaling properties.
Michael A. Cohen
: The stability of sustained oscillations in symmetric cooperative-competitive networks.
: Theory of self-organization of cortical maps: Mathematical framework.
: A recurrent neural network: Limitations and training.
: A stochastic reinforcement learning algorithm for learning real-valued functions.
Amir F. Atiya
: An unsupervised learning technique for artificial neural networks.