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...
: 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...
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...
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...
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...