Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm
Qing Xie
Qing Xie
| Jul 26, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jul 26, 2023
Page range:
-
Received:
Aug 14, 2022
Accepted:
Feb 03, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00095
Keywords
Kalman filtering algorithm
,
BP neural network
,
Backpropagation algorithm
,
Literary translation
© 2023 Qing Xie, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Qing Xie
School of Chinese Language Shaanxi Xueqian Normal University
Xi’an, China