Wenzhou Vocational College of Science and Technology, Wenzhou 325006, Zhejiang, China.
Comput Intell Neurosci. 2022 Aug 5;2022:4543467. doi: 10.1155/2022/4543467. eCollection 2022.
A digital library is a digital information resource system supported by modern high technology, a next-generation information resource management model on the Internet, and the result of the digitization of library collections, and with the development of society and the accelerated pace of people's lives, people cannot spend too much time classifying and finding books, so the study of book classification and quick finding in university libraries is very important. This paper mainly researches and analyzes the classification and quick search of books in the university library through the algorithms and methods of digital information technology and finds a better algorithm. This paper mainly conducts experiments on automatic text and support vector machine (one-to-many and global optimization) methods and compares the obtained experimental data, such as classification accuracy, classification time, search time, and other data. The experimental results show that the classification accuracy of these three classification methods is in the range of 86%-94%. However, compared with the two methods of automatic text classification and one-to-many classification, the global optimization classification has the highest accuracy in the sample size of each interval. Among them, the classification time is the lowest for automatic text classification, which is less than 30s, and the one-to-many classification sample takes the most time, and their average fitness is in the range of 24%-27%.
数字图书馆是一种在现代高科技支持下的数字信息资源系统，是互联网上的下一代信息资源管理模式，也是图书馆馆藏数字化的结果。随着社会的发展和人们生活节奏的加快，人们不能花费太多的时间对书籍进行分类和查找，因此，研究高校图书馆的图书分类和快速查找非常重要。本文主要通过数字信息技术的算法和方法，对高校图书馆的图书分类和快速检索进行研究和分析，找到一种更好的算法。本文主要对自动文本和支持向量机（一对一和全局优化）方法进行实验，并对获得的实验数据（如分类准确性、分类时间、搜索时间等）进行比较。实验结果表明，这三种分类方法的分类准确性在 86%-94%的范围内。然而，与自动文本分类和一对一分类这两种方法相比，全局优化分类在每个区间的样本量方面具有最高的准确性。其中，自动文本分类的分类时间最低，不到 30 秒，而一对一分类的样本耗时最长，它们的平均适应度在 24%-27%的范围内。
