Artificial Intelligence Education System Based on Differential Evolution Algorithm to Optimize SVM
The artificial intelligence education system promotes the rooting of artificial intelligence in the education field and accelerates its entry into the era of intelligent education. This article focuses on the development of the artificial intelligence education system and proposes an artificial inte...
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| Veröffentlicht in: | Scientific programming 2022-01, Vol.2022, p.1-7 |
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| creator | Long, Weilin Gao, Yi |
| description | The artificial intelligence education system promotes the rooting of artificial intelligence in the education field and accelerates its entry into the era of intelligent education. This article focuses on the development of the artificial intelligence education system and proposes an artificial intelligence education system based on differential evolution algorithm optimization support vector machine. First, the processing of educational demand information data is automated, then a differential evolution algorithm is built to optimize the support vector machine model, and the model is used to implement various educational tasks to achieve automated education. The test results show that the model classification accuracy, classification recall rate, classification accuracy rate, and F1-score value are 4 items. Performances have been improved to improve the efficiency of education work and provide a reference for exploring the application and practice of artificial intelligence in education. |
| doi_str_mv | 10.1155/2022/5379646 |
| format | Article |
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This article focuses on the development of the artificial intelligence education system and proposes an artificial intelligence education system based on differential evolution algorithm optimization support vector machine. First, the processing of educational demand information data is automated, then a differential evolution algorithm is built to optimize the support vector machine model, and the model is used to implement various educational tasks to achieve automated education. The test results show that the model classification accuracy, classification recall rate, classification accuracy rate, and F1-score value are 4 items. 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This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Accuracy Artificial intelligence Automation Classification Education Efficiency Evolutionary algorithms Evolutionary computation Genetic algorithms Model accuracy Mutation Optimization Population Support vector machines Systems development Teachers |
| title | Artificial Intelligence Education System Based on Differential Evolution Algorithm to Optimize SVM |
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