Neural-estimator for the surface emission rate of atmospheric gases

Details Neural-estimator for the surface emission rate of atmospheric gases Neural-estimator for the surface emission rate of atmospheric gases

2009-12-04

arxiv.org/abs/0912.0936v1

Computer Science

Neural and Evolutionary Computing

Scientific paper

The emission rate of minority atmospheric gases is inferred by a new approach based on neural networks. The neural network applied is the multi-layer perceptron with backpropagation algorithm for learning. The identification of these surface fluxes is an inverse problem. A comparison between the new neural-inversion and regularized inverse solution id performed. The results obtained from the neural networks are significantly better. In addition, the inversion with the neural netwroks is fster than regularized approaches, after training.

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