Empirical study of college students' extracurricular reading preference by functional data analysis of the library book borrowing behavior.

ABSTRACT: Library data contains many students' reading records that reflect their general knowledge acquisition. The purpose of this study is to deeply mine the library book-borrowing data, with concerns on different book catalogues and properties to predict the students' extracurricular interests. An intelligent computing framework is proposed by the fusion of a neural network architecture and a partial differential equations (PDE) function module. In model designs, the architecture is constructed as an adaptive learning backpropagation neural network (BPNN), with automatic tuning of its hyperparameters. The PDE module is embedded into the network structure to enhance the loss functions of each neural perceptron. For model evaluation, a novel comprehensive index is designed using the calculus of in

SUBMITTER: Zhang F 

PROVIDER: S-EPMC10817177 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature