James D. Keeler

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Comparison between sparsely distributed memory and Hopfield-type neural network models

James D. Keeler, J. Keeler, 1986 .

Integrated Segmentation and Recognition of Hand-Printed Numerals

James D. Keeler, Wee Kheng Leow, David E. Rumelhart, 1990, NIPS.

An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal

James D. Keeler, Carsten Peterson, Eric Hartman, 1990, Neural Computation.

Predicting the Future: Advantages of Semilocal Units

James D. Keeler, Eric Hartman, J. Keeler, 1991, Neural Computation.

Layered Neural Networks with Gaussian Hidden Units as Universal Approximations

James D. Keeler, Eric Hartman, Jacek M. Kowalski, 1990, Neural Computation.

Neural Network Based Model Predictive Control

James D. Keeler, Greg Martin, Stephen Piche, 1999, NIPS.

A Self-Organizing Integrated Segmentation and Recognition Neural Net

James D. Keeler, David E. Rumelhart, D. Rumelhart, 1991, NIPS.

Basins of attraction of neural network models

James D. Keeler, J. Keeler, 1987 .

Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks

James D. Keeler, Avijit Saha, J. Keeler, 1989, NIPS.

Comparison of Self-Organization and Optimization in Evolution and Neural Network Models

James D. Keeler, John Ross, Elgar Pichler, 1990, Complex Syst..

Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models

James D. Keeler, J. Keeler, 1987, NIPS.

Vision of neural networks and fuzzy logic for prediction and optimization of manufacturing processes

James D. Keeler, 1992, Defense, Security, and Sensing.