Research on intelligent distribution of ant colony algorithm based on BP neural network data fusion

Under the dual effects of the growing demand for efficient distribution and the normalized management of the epidemic, the application of intelligent robots in the intelligent distribution process is considered. In order to let the robot choose the optimal path to reach the target point, and at the same time in each movement process, the obtained detection data are real and reliable. In this paper, combined with the characteristics of the robot itself, the ant colony algorithm is applied, and the detection data is processed through the BP neural network. Using MATLAB simulation platform to generate a twodimensional map randomly, the simulation experiment is carried out. The simulation experiment shows that the proposed algorithm has achieved good results.