Abstract: A quality evaluation model for the development of digital armored force command personnel based on BP neural network is established. The relationship between evaluation indicators and development elements for talent quality are given to verify the technical feasibility of solving the nonlinear talent development assessment based on BP neural network, which lays a theoretical foundation for importing a large number of data to verify the algorithm of talent development assessment. The results of talent development assessment are given by validating the data. The experiments show that the BP neural network can effectively solve the non-linear problem accurately and stably in the assessment, which provides a technical approach and theoretical basis for the realization of intelligent talent development assessment and assistant decision-making technology.