Research on centralised matching method of teaching knowledge categories based on intelligent language recognition Online publication date: Tue, 20-Apr-2021
by Lei Liu
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 31, No. 2, 2021
Abstract: In order to improve the accuracy and efficiency of teaching knowledge classification matching, a method of teaching knowledge classification matching based on intelligent language recognition is proposed. The deep learning network was constructed, the language files were pre-processed, and the extracted language feature vectors were used to train the network and optimise the deep learning network. The intelligent language recognition network model is established and the k-means clustering algorithm is used to acquire the model. Classification of teaching knowledge is processed centrally and the classification system of teaching knowledge is obtained. Matching problem of teaching knowledge classification system is modelled, and the corresponding undirected graph is constructed, which is converted into the matching problem with the greatest weight, and the optimal matching scheme under the category of teaching knowledge concentration is obtained. Experimental results show that the matching results based on intelligent language recognition are more accurate and more efficient.
Online publication date: Tue, 20-Apr-2021
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org