Alain-Louis Dutot

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The development of a structure/reactivity relationship for aqueous phase reactions of organic compounds with OH is presented. An empirical model is used to relate the functional groups of the molecule and the rate constant of the molecule reacting with OH. An artificial neural network, the multi layer perceptron (MLP), is found to be capable of predicting(More)
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 based on the MultiLayer Perceptron (MLP) structure. The inputs of the statistical network are model output statistics of the weather predictions from the French National Weather(More)
Using a statistical approach based on artificial neural networks, an emission algorithm (ISO-LF) accounting for high to low frequency variations was developed for isoprene emission rates. ISO-LF was optimised using a data base (ISO-DB) specifically designed for this work, which consists of 1321 emission rates collected in the literature and 34 environmental(More)
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