Volume 14,
Number 1,
May 1990
- Pelle Olsson, S. Lennart Johnsson:
A dataparallel implementation of an explicit method for the three-dimensional compressible Navier-Stokes equations.
1-30
- Arno Krechel, Hans-Joachim Plum, Klaus Stüben:
Parallelization and vectorization aspects of the solution of tridiagonal linear systems.
31-49
- Francisco F. Rivera, Ramon Doallo, Javier D. Bruguera, Emilio L. Zapata, R. Peskin:
Gaussian elimination with pivoting on hypercubes.
51-60
- U. Block, Andreas Frommer, G. Mayer:
Block colouring schemes for the SOR method on local memory parallel computers.
61-75
- David J. Evans, Konstantinos G. Margaritis:
Systolic designs for eigenvalue-eigenvector computations using matrix powers.
77-87
- Jau-Hsiung Huang, Leonard Kleinrock:
Optimal parallel merging and sorting algorithms using sqrt(N) processors without memory contention.
89-97
- Wilhelm Hasselbring:
CELIP: A Cellular Language for Image Processing.
99-109
- D. J. Evans:
A parallel sorting-merging algorithm for tightly coupled multiprocessors.
111-121
Volume 14,
Number 2,
June 1990
Volume 14,
Number 3,
August 1990
- Heinz Mühlenbein:
Limitations of multi-layer perceptron networks-steps towards genetic neural networks.
249-260
- Frank J. Smieja, Heinz Mühlenbein:
The geometry of multi-layer perceptron solutions.
261-275
- Jörg Kindermann, Alexander Linden:
Inversion of neural networks by gradient descent.
277-286
- Trent E. Lange:
Simulation of heterogeneous neural networks on serial and parallel machines.
287-303
- A. Singer:
Implementations of artificial neural networks on the Connection Machine.
305-315
- Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz:
The backpropagation algorithm on grid and hypercube architectures.
317-327
- Michael J. Witbrock, Marco Zagha:
An implementation of backpropagation learning on GF11, a large SIMD parallel computer.
329-346
- L. Darrell Whitley, Timothy Starkweather, C. Bogart:
Genetic algorithms and neural networks: optimizing connections and connectivity.
347-361
- Manoel Fernando Tenorio:
Topology synthesis networks: self-organization of structure and weight adjustment as a learning paradigm.
363-380
- Klaus Obermayer, Helge Ritter, Klaus Schulten:
Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling.
381-404
- R. W. Kentridge:
Neural networks for learning in the real world: representation, reinforcement and dynamics.
405-414
Copyright © Sun Nov 15 05:56:30 2009
by Michael Ley (ley@uni-trier.de)
