Application and Research of Artificial Intelligence in Digital Library

Abstract

With the advent of the intelligent age, artificial intelligence has become the mainstream technology in the world, and artificial intelligence technology has established a solid research foundation for digital libraries. This paper discusses the significance and form of artificial intelligence technology in the book library application and the future development trend, in order to provide an important reference for the further development of the establishment of digital libraries. This article starts with the basic theory of text classification, expounds the theory of text classification system and the key technologies and main algorithms of classification, and compares and analyzes the theoretical basis, applicable conditions and scope, advantages and disadvantages of various methods. Aiming at the characteristics of digital library text resources and Chinese language, with the help of rough and good ability to deal with ambiguity and uncertainty and the excellent function approximation ability and fast learning ability of RBF neural network, a digital book based on Rough-RBFNN has been established. The library text automatic classification model is optimized and the neural network is optimized. Based on this, the digital library text automatic classification system is designed and implemented. The experimental research results show that artificial intelligence realizes the intelligentization of machinery and equipment. The library should rationally use artificial intelligence technology and combine the readers’ current reading habits to design reading promotion scenarios that can reflect the characteristics of the collection, so that digital reading promotion has a broader development space, to better play the role of leading reading for all.