Artificial Intelligence Algorithm Research for Inverse Problems in Environmental Hydraulics

The control equation of many systems can described by the ODE or PDE with fitting initialization conditions and boundary conditions in the filed of environmental hydraulics. A new approach based on Artificial Intelligence Algorithm to inverse problem in environmental hydraulics is introduced in this paper. Firstly, the Genetic Algorithms (GA) transforms the inverse problem into an optimization problem and it has artificial intelligence search global function. Subsequently, the original iterated values are obtained through across gene and variance gene of GA, and put the original iterated values in the beginning of the best disturbed iteration method for the inverse problem of partial differential equation parameter identified. Then we can get the steady numerical solution of the parameter that need seek for. The results shows that the approximate solution have good astringency and high precision, and can apply broadly.