在人工智能和无人系统技术的迅速发展下,人工智能课程是智能无人系统及自动化相关专业的核心课程之一。如何利用人工智能课程对人工智能创新人才教育体系进行探索,对于高等教育是一个挑战。论文针对课程在教学中存在的前沿应用下的创新...在人工智能和无人系统技术的迅速发展下,人工智能课程是智能无人系统及自动化相关专业的核心课程之一。如何利用人工智能课程对人工智能创新人才教育体系进行探索,对于高等教育是一个挑战。论文针对课程在教学中存在的前沿应用下的创新教学方法缺失、基础理论教学与应用技术教学失衡两大关键问题,进行了无人系统应用前沿驱动的人工智能“牵引–驱动–协作”创新教学模式探索。培养学生对于对实际问题的建模能力及运用人工智能解决问题的意识,通过无人系统前沿应用推动建立健全的人工智能创新教学发展体系。With the rapid development of artificial intelligence and unmanned system technology, artificial intelligence is one of the core courses in intelligent unmanned systems and automation-related majors. How to explore the innovative talent education system of artificial intelligence through the use of artificial intelligence courses is a challenge for higher education. This paper addresses the two key issues of the lack of innovative teaching methods under the cutting-edge applications of courses and the imbalance between basic theory teaching and application technology teaching in teaching. It explores the innovative teaching model of “traction-driving-collaboration” in artificial intelligence driven by the forefront of unmanned system applications. By cultivating students’ ability to model practical problems and their awareness of using artificial intelligence to solve problems, a sound system for the development of innovative teaching in artificial intelligence is established through the advancement of unmanned system applications.展开更多
深度学习作为一种新兴的机器学习技术已经在金融领域得到了广泛应用。相较于传统的计量统计模型和传统机器学习方法,深度学习具有独到的优势。为了深刻把握深度学习在金融领域的应用前沿,本文通过归纳Web of Science和中国知网上2019—2...深度学习作为一种新兴的机器学习技术已经在金融领域得到了广泛应用。相较于传统的计量统计模型和传统机器学习方法,深度学习具有独到的优势。为了深刻把握深度学习在金融领域的应用前沿,本文通过归纳Web of Science和中国知网上2019—2022年的相关实证论文,发现近年来深度学习主要应用于金融领域中的价格预测、风险识别、改进交易策略、非结构化数据处理等方面;进一步分析发现,深度学习改进了预测和分类的性能,并提供了一种全新的金融学研究范式。然而深度学习仍存在可解释性差、模型难以构建等缺陷。本文研究了深度学习在金融领域的应用需要平衡模型性能和可解释性,并进一步探索了金融各领域中一般性的深度学习模型框架的构建。展开更多
文摘在人工智能和无人系统技术的迅速发展下,人工智能课程是智能无人系统及自动化相关专业的核心课程之一。如何利用人工智能课程对人工智能创新人才教育体系进行探索,对于高等教育是一个挑战。论文针对课程在教学中存在的前沿应用下的创新教学方法缺失、基础理论教学与应用技术教学失衡两大关键问题,进行了无人系统应用前沿驱动的人工智能“牵引–驱动–协作”创新教学模式探索。培养学生对于对实际问题的建模能力及运用人工智能解决问题的意识,通过无人系统前沿应用推动建立健全的人工智能创新教学发展体系。With the rapid development of artificial intelligence and unmanned system technology, artificial intelligence is one of the core courses in intelligent unmanned systems and automation-related majors. How to explore the innovative talent education system of artificial intelligence through the use of artificial intelligence courses is a challenge for higher education. This paper addresses the two key issues of the lack of innovative teaching methods under the cutting-edge applications of courses and the imbalance between basic theory teaching and application technology teaching in teaching. It explores the innovative teaching model of “traction-driving-collaboration” in artificial intelligence driven by the forefront of unmanned system applications. By cultivating students’ ability to model practical problems and their awareness of using artificial intelligence to solve problems, a sound system for the development of innovative teaching in artificial intelligence is established through the advancement of unmanned system applications.
文摘深度学习作为一种新兴的机器学习技术已经在金融领域得到了广泛应用。相较于传统的计量统计模型和传统机器学习方法,深度学习具有独到的优势。为了深刻把握深度学习在金融领域的应用前沿,本文通过归纳Web of Science和中国知网上2019—2022年的相关实证论文,发现近年来深度学习主要应用于金融领域中的价格预测、风险识别、改进交易策略、非结构化数据处理等方面;进一步分析发现,深度学习改进了预测和分类的性能,并提供了一种全新的金融学研究范式。然而深度学习仍存在可解释性差、模型难以构建等缺陷。本文研究了深度学习在金融领域的应用需要平衡模型性能和可解释性,并进一步探索了金融各领域中一般性的深度学习模型框架的构建。