Neural Networks and Classical Algorithms in Inverse Problems of Anomalous Diffusion

Abstract

The paper develops a new numerical method for the solution of the inverse problems. This method can be classified as a predictor-corrector method, in which the artificial neural network plays the role of a predictor, and the gradient method plays the role of a corrector. We apply this method to inverse anomalous diffusion problem and show its statistical efficiency.