Enterprise hierarchical management based on neural network model

In this paper combines the neural network model to construct the enterprise hierarchical management model and establish the hierarchical scheduling model. Improve the effect of enterprise management, the model uses the Q-learning algorithm to calculate the scheduling data, and uses the simulated annealing genetic algorithm to manage and optimize the sorting. Moreover, when the completion time of the neural network algorithm in each enterprise management role is known and the scheduling target is determined, the enterprise management is transformed into a sorting problem of enterprise jobs. In addition, this paper constructs an enterprise hierarchical management model based on neural network model. According to the experimental research results, the enterprise hierarchical management model based on the neural network model proposed in this paper can play an important practical role in enterprise management and has a certain auxiliary role in enterprise management.