New artificial neural network model bests MaxEnt in inverse problem example
Tuesday, February 18, 2020 - 12:07
in Earth & Climate
Numerical simulations, generally based on equations that describe a given model and on initial data, are being applied in an ever-expanding range of scientific disciplines to approximate processes at given points in time and space. With so-called inverse problems, this critical data is missing—researchers must reconstruct approximations of the input data or of the model underlying observable data in order to generate the desired predictions.