Affiliations: Department of Basic Courses, Guangdong Communication Polytechnic, Guangzhou, Guangdong, China
Correspondence:
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Corresponding author. Liu Guifang, Department of Basic Courses, Guangdong Communication Polytechnic, Guangzhou, Guangdong, China. E-mail: Liuguifang123859@163.com.
Abstract: The use of intelligent college English writing training system will certainly promote the traditional teaching structure and realize a new and efficient English writing teaching mode. On the basis of machine learning and the herd effect algorithm, this article constructs an artificial intelligence-based English intelligent writing system. Moreover, in view of the shortcomings of traditional models and the characteristics of intelligent English writing, this paper proposes an improved algorithm for optimization of swarm particle walking paths. In addition, this article proposes a relative attractiveness to initialize the formation of small-scale groups based on the herd effect. Then, in the process of intelligent writing, by establishing an information sharing mechanism between groups, each group is continuously updated and reorganized according to the relative attractiveness of the group, so that the writing process can be simulated more realistically. From the experimental research, it can be seen that the model constructed in this paper has a certain degree of intelligence.
Keywords: Integration of herding effect, artificial intelligence, English writing, artificial intelligence, machine learning
