In order to expand the application of deep learning and neural network algorithm model in different disciplinary fields,achieve innovative teaching,high-order teaching,and challenging teaching,it is proposed to rely on scientific research projects,feedback scientific research results into experimental teaching,and combine the experimental content before transformation to construct a series of application experiments of artificial intelligence algorithms in energy spectrum measurement.The experiment integrates interdisciplinary knowledge such as pulse processing,energy spectrum measurement,and deep learning into innovative experiments,utilizes different deep learning models for data processing and analysis,fully leverages the advantages of artificial intelligence algorithms in the experiment,and provides accurate,fast,and efficient experimental results.The experimental implementation and evaluation results indicate that the innovative artificial intelligence algorithm experiment based on achievement transformation can not only promote the innovation and development of experimental teaching,but also provide more opportunities for students to practice and explore scientific research and subject competitions.
关键词
科教融合/人工智能/神经网络/实验设计
Key words
integration of science and education/artificial intelligence/neural network/experiment design
维普
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