deep neural network for solving stochastic biological systems

In this study, we present deep neural network method (dnn) for nding nu-merical solution of a class of stochastic biological systems. dnn utilizes morgan-voyceeven lucas polynomials and sinh function as activation functions of the deep struc-ture. the standard brownian motion, the gauss-legendre quadrature and the classicaloptimization method are applied to train this neural network. finally, the numericaltechnique is implemented for a stochastic biological system to illustrate the superiorityand eciency of the proposed method.