Research on Administrative Management of Vocational College based on Big Data Technology

This paper studies the administrative management of vocational colleges based on big data technology. The main content of this chapter is an improved administrative task scheduling algorithm based on a convolutional neural network. In this paper, a task scheduling model of administrative management is established, which takes the minimum task scheduling cost as the objective function, and the task scheduling cost is determined by the delay degree and the discarded situation of the task. Then, our paper introduces the heuristic algorithm commonly used to solve the model and to overcome the shortcoming that the heuristic algorithm can't obtain the theoretical optimal solution, the backtracking method is proposed. Since the backtracking method takes too long, the convolutional neural network is introduced to speed up the search of the search tree by pruning with the method of predicting the minimum cost of nodes. Finally, the above algorithms are verified by simulation, which proves the effectiveness of the task-scheduling algorithm based on a convolutional neural network.