Adaptive Learning Neural Network Method for Solving Time-Fractional Diffusion Equations
Babak Shiri1, Hua Kong2, Guo-Cheng Wu3
1Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, PRC shiri@njtc.edu.cn.
Abstract:
A neural network method for solving fractional diffusion equations is presented in this letter. An adaptive gradient descent method is proposed to minimize energy functions. Due to the memory effects of the fractional calculus, the gradient of energy function becomes much more complicated, and we suggest a simplified method. Numerical examples with one-layer and two-layer neurons show the effectiveness of the method.
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