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ESANN
2003
13 years 9 months ago
Cellular topographic self-organization under correlational learning
We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi
ESANN
1998
13 years 9 months ago
NAR time-series prediction: a Bayesian framework and an experiment
: We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some commo...
Michel Crucianu, Crucianu Uhry, Jean Pierre Asseli...
ESANN
2000
13 years 9 months ago
Self-Organisation in the SOM with a finite number of possible inputs
Abstract. Given a one dimensional SOM with a monotonically decreasing neighbourhood and an input distribution which is not Lebesque continuous, a set of su cient conditions and a T...
John A. Flanagan
ESANN
2000
13 years 9 months ago
Quantum iterative algorithm for image reconstruction problems
Iterative algorithm based on quantum tunneling is proposed by making use of mean- eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
Jun-ichi Inoue
ESANN
2000
13 years 9 months ago
Nonlinear prediction of spatio-temporal time series
Abstract. A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Sivashin...
Ulrich Parlitz, Christian Merkwirth