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Calculus Teaching Method Based on Artificial Intelligence Application

机译：基于人工智能应用的微积分教学方法

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Calculus plays a very important role in our research on artificial intelligence. From model analysis to method research, the research on calculus teaching method has been integrated into many aspects of our application of artificial intelligence. Calculus belongs to higher mathematics. It is precisely foreign science that uses the concept of calculus to solve the problems in the application of artificial intelligence. According to the current development of calculus and its application in the field of artificial intelligence, the basic teaching methods and contents have remained unchanged. Traditional teaching excessively pursues theoretical study and computational ability. So much of the current mathematics education is theoretical education, and there is no prominent application. Once theory and practice are combined, the shortcomings of students' weakness in innovation ability are highlighted. The development of society needs more innovative and applied talents. Therefore, based on the deficiencies of back propagation (BP) neural network (one of the applications of artificial intelligence), this paper proposes the teaching reform of the course of Applied Calculus based on artificial intelligence.
机译：微积分在我们对人工智能研究的研究中起着非常重要的作用。从模型分析到方法研究中，微积分教学方法研究已纳入我们人工智能应用的许多方面。微积分属于更高的数学。正是外国科学，利用微积分概念来解决人工智能应用中的问题。根据对微积分的目前的发展及其在人工智能领域的应用，基本教学方法和内容保持不变。传统教学过度追求理论研究和计算能力。所以目前的数学教育是理论教育，并且没有突出的应用。一旦理论和实践结合了，突出了学生创新能力的弱点的缺点。社会的发展需要更具创新性和应用的人才。因此，基于后传播（BP）神经网络（人工智能应用之一），提出了基于人工智能的应用微积分课程的教学改革。

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