Based on the experimental data, the inversion analysis of the mechanical parameters of the hyper-elastic constitutive equation of the sealing strip plays a significant role in the design of the dishwasher sealing system. This paper proposes an inversion analysis method of mechanical parameters of dishwasher sealing strips based on BP neural network algorithm and improved genetic algorithm. Firstly, the problem is simplified to a plane strain problem, and the compression simulation model of the sealing strip is established by using the multistep simulation technology; Secondly, based on BP neural network algorithm and improved genetic algorithm, the parameters of the Mooney-Rivlin are inversely calculated; Finally, the experimental data is compared and analyzed with the simulation data. The results show that the improved genetic algorithm can avoid the oscillation of the convergence curve and improve the convergence speed; Also, after benchmarking, the compression shape of the sealing strip obtained from simulation is basically consistent with the experimental results at different stages, and the maximum loss of the closing force can be accurately predicted.