A parallel GA-BP neural network algorithm for solving inverse heat conduction problem

Inverse heat conduction problem (IHCP) is a nonlinear, ill-posed problem of huge calculation, which is difficult to be solved properly. This paper proposes a parallel GA-BP algorithm on cluster for solving IHCP, which combine the ability of nonlinear mappings of forward back propagation (BP) neural network and the capacity of global optimization of genetic algorithm (GA). The processes of optimization algorithm and data parallelism are introduced mainly in this paper. The experimental results show that the method can achieve high speedup and improve computational efficiency.