most citedA 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

stat.AP20081 cited

A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions

A. Dutot, Joseph Rynkiewicz, F. Steiner +1

A neural network combined to a neural classifier is used in a real time forecasting of hourly maximum ozone in the centre of France, in an urban atmosphere. This neural model is ba…

math.ST2008

Estimation consistante de l'architecture des perceptrons multicouches

Joseph Rynkiewicz

We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done by maximizi…

math.ST2008

Efficient Estimation of Multidimensional Regression Model using Multilayer Perceptrons

Joseph Rynkiewicz

This work concerns the estimation of multidimensional nonlinear regression models using multilayer perceptrons (MLPs). The main problem with such models is that we need to know the…

stat.ML20081 cited

Self Organizing Map algorithm and distortion measure

Joseph Rynkiewicz

We study the statistical meaning of the minimization of distortion measure and the relation between the equilibrium points of the SOM algorithm and the minima of distortion measure…

stat.ME2008

Estimation of linear autoregressive models with Markov-switching, the E.M. algorithm revisited

Joseph Rynkiewicz

This work concerns estimation of linear autoregressive models with Markov-switching using expectation maximisation (E.M.) algorithm. Our method generalise the method introduced by…

math.ST2008

Efficient Estimation of Multidimensional Regression Model with Multilayer Perceptron

Joseph Rynkiewicz

This work concerns estimation of multidimensional nonlinear regression models using multilayer perceptron (MLP). The main problem with such model is that we have to know the covari…