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The judgement of genetic algorithm on the process of maternal image change in script creation
Author(s):
1. Peiyuan Niu: Department of Fine Arts, International College, Krirk University, Bangkok, Thailand
2. Eryong Liu: Department of Fine Arts, International College, Krirk University, Bangkok, Thailand
Abstract:
The position of mother image change in script creation is very important which may change the logic of script and even change the task layout of the underlying script. However, in the process of changing the mother's image, there are problems such as a large amount of analysis data and complex image construction. The main reasons for this are the characteristics of the change is not summarized in proper place, the feedback of change data is not updated on time, and the data mining is not performed efficiently. Hence, this paper proposes a mother image change method based on genetic algorithm that summarizes the characteristics of mother image at different stages. The mother image data is collected by genetic algorithm, and the change data is summarized with the help of remote coding and multimedia network to complete the iterative calculation of the mother image data and identify the commonality and personality characteristics in the process of change. The results show that the genetic algorithm can effectively identify the change of the mother's image, and find the characteristics in after the change by meeting the requirements of script creation.
Page(s): 1-12
DOI: DOI not available
Published: Journal: International Journal of Communication Networks and Information Security, Volume: 15, Issue: 3, Year: 2023
Keywords:
data fusion , genetic algorithm , Data Standardization , Screenwriting , Mother Figure , Vicissitude , Normalization
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