分析BP神经网络在高职图书馆馆藏资源需求定量分析中的应用,以常州纺院为例,选择文献种类、文献资源利用率、更新指数、借阅数及还书数作为主要影响指标,以中图分类的大类为标准,以借阅排名替代读者需求,建立三层BP神经网络模型,在MATLAB中进行建模仿真计算,验证了使用数学模型进行馆藏资源需求定量分析的可行性。 This paper analyzes the application of BP neural network in the quantitative analysis of the resource requirements of the collection of higher vocational libraries. Taking Changzhou Textile Institute as an example, this paper chooses the types of documents, the utilization of document resources, the update index, the number of borrowings and the number of books as the main influence indexes, The classification of the categories is the standard. The three-layer BP neural network model is set up by borrowing the rankings instead of the reader’s needs. The model is simulated in MATLAB, and the feasibility of using the mathematical model to quantitatively analyze the resource requirements of the collections is verified.