New artificial neural network model bests MaxEnt in inverse problem example
(PHYSorg.com Physics)

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.