Neurocomputing : algorithms, architectures and applications

This volume contains the collected papers of the NATO Advanced Research Workshop on Neurocomputing, held in February 1989. Various fields in neurocomputing were covered, including new or improved neural network algorithms, product units, recurrent multilayer networks, Boltzmann machines, Kohonen maps, growth algorithms, VLSI circuits, VLSI neurons, dedicated processors, coding, links with hidden Markov Models (HMMs), recognition of digits, wind maps, mammographic images, cortical columns, posture and movement co-ordination.

[1]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  David W. Murray,et al.  A parallel approach to the picture restoration algorithm of Geman and Geman on an SIMD machine , 1986, Image Vis. Comput..

[3]  P Chavel,et al.  Optical generation of random-number arrays for on-chip massively parallel Monte Carlo cellular processors. , 1987, Optics letters.

[4]  Heinz Mühlenbein,et al.  Evolution algorithms in combinatorial optimization , 1988, Parallel Comput..

[5]  T. Sejnowski,et al.  Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.

[6]  Geoffrey C. Fox,et al.  The physical structure of concurrent problems and concurrent computers , 1988, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.