Abstract
The widespread application of artificial intelligence algorithms has triggered crises and changes. This study evaluates the performance of artificial intelligence algorithms in crisis monitoring and change prediction using MATLAB. The results show that artificial intelligence algorithms can accurately analyze crisis situations in vocational education and output accurate change results. Compared with traditional manual judgment methods, artificial intelligence algorithms perform well in terms of error rate. At the same time, the accuracy of the judgment also exceeded 90%, proving its high accuracy in crisis monitoring and change prediction.
In summary, the application of artificial intelligence algorithms in vocational education has brought important crisis perception and change prediction capabilities. The research results of MATLAB indicate that artificial intelligence algorithms can accurately analyze crisis situations and have high judgment accuracy. However, in response to relevant challenges and issues, we need to formulate corresponding policies and measures to ensure the sustainable development of artificial intelligence algorithms in vocational education.
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Shi, N., **g, Z., Wu, X. (2024). The Crisis and Change of Artificial Intelligence Algorithms in Higher Vocational Education. In: Zhang, Y., Shah, N. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 582. Springer, Cham. https://doi.org/10.1007/978-3-031-63136-8_46
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DOI: https://doi.org/10.1007/978-3-031-63136-8_46
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