An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm

An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm

Exploring the evolution of translation of contemporary Chinese literature better presents Chinese literary charm to foreign readers. This paper starts with the Kalman filter algorithm and introduces its cost function that satisfies the error minimization and the Kalman filter gain. Then the BP neura...

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Bibliographic Details
Main Author: Xie Qing
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
kalman filtering algorithm
bp neural network
backpropagation algorithm
literary translation
68t01
Online Access:https://doi.org/10.2478/amns.2023.2.00095

Internet

https://doi.org/10.2478/amns.2023.2.00095

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