Teaching Evaluation of Single Chip Microcomputer based on Artificial Intelligence Algorithm
نویسندگان
چکیده
Abstract: In recent years, with the continuous deepening of SCM teaching, to meet the needs of the community to the relevant needs, for the continuous development of the community to provide high-quality professional talent. Because now there is no unified standard for the research of MCU college education, in order to make a quantitative study of university teaching MCU, this paper through the modern intelligent algorithm, based on support vector machine classification with high accuracy performance and combined with the robustness of genetic algorithm, the monolithic machine teaching evaluation index were quantitative research, to establish the intelligent quantitative evaluation model. The practicability of the model is verified by the actual case. The results show that the evaluation system and method are feasible and effective in solving practical problems. It provides scientific basis for the continuous improvement and development of single chip computer teaching system in Colleges and universities.
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