Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 18, 2024


Pages


DOI

Article

Exploring the Role of Artificial Intelligence in Multimodal Cultural Communication and Identification


Authors

Yu He Affiliation:
School of General Education, Xi’an Mingde Institute of Technology, Xi’an, Shaanxi, 710124, China.


Abstract

Artificial intelligence technology has unique advantages in processing multimodal information such as images, videos and sounds, and plays an important role in the process of enhancing the effect of multimodal cultural communication. The Page Rank model is used to identify communication subjects based on the role of key communication subjects in cultural communication, as proposed in this paper. A genetic algorithm is utilized to improve the traditional neural network algorithm, so that it provides more accurate prediction results and countermeasures in the process of promoting cultural communication. The analysis shows that the OLMT algorithm has an average accuracy of 94.56% in a specific identification interval. The difference between the expected and actual output values of the improved neural network algorithm for the test samples was less than 0.7.


Keywords

Artificial intelligence, Multimodal cultural communication, Identification algorithm, Neural network, Genetic algorithm, 68T42


Citation

He, Y. (2024). Exploring the role of artificial intelligence in multimodal cultural communication and identification. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3289
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