Abstract
Under the background of modern education innovation, with the continuous optimization of artificial intelligence technology level, the characteristic education with artificial intelligence as the core has been comprehensively promoted in practical education. Especially for ideological and political education, the construction of a new artificial intelligence education system based on practical teaching content and guidance needs cannot only provide technical support for students’ comprehensive learning, but also enrich practical teaching content. Therefore, on the basis of understanding the current implementation status of ideological and political education, according to the design content of artificial intelligence education system, this paper takes the network intrusion detection system as an example to study the performance of BP neural network algorithm used in it, so as to provide an effective basis for the development of modern education.
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Zhai, Y. (2022). Research on Artificial Intelligence System Design of Ideological and Political Education. In: Jain, L.C., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 298. Springer, Singapore. https://doi.org/10.1007/978-981-19-2452-1_18
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DOI: https://doi.org/10.1007/978-981-19-2452-1_18
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