激光原理与技术是我国高等院校光电信息科学与工程专业的核心专业课程,其中的实验教学是培养学生动手实践能力和加强理论联系实践的重要环节。在实验教学环节中融入思想政治教育元素,有利于提高学生积极性以及提升教学、育人效果成效。...激光原理与技术是我国高等院校光电信息科学与工程专业的核心专业课程,其中的实验教学是培养学生动手实践能力和加强理论联系实践的重要环节。在实验教学环节中融入思想政治教育元素,有利于提高学生积极性以及提升教学、育人效果成效。本文以激光原理与技术课程为例,分析实验教学中“课程思政”的教学途径、德育元素,以教学实例探讨目前教学成效情况,最后以深圳大学光电信息科学与工程专业激光原理与技术的思政教育案例进行探讨。Laser Principle and Technology is a core professional course for Opto-Electronic Information Science and Engineering Major in Chinese universities. Experimental teaching is a crucial component for training students’ practical skills and for enhancing the connection between theory and practice. Integrating ideological and political education elements into the experimental teaching process helps increase student engagement and improves the effectiveness of both teaching and education. This paper takes the Laser Principle and Technology course as an example to analyze the teaching approaches and moral education elements in “curriculum ideological and political education” during experimental teaching. It discusses the current effectiveness of these teaching methods through specific teaching examples and examines a case study of ideological and political education in the Laser Principle and Technology course for the major of Opto-Electronic Information Science and Engineering at Shenzhen University.展开更多
针对地铁站客流预测方法单一、预测准确度较低等问题,基于贝叶斯优化算法(Bayesian optimization algorithm,BOA)的全局寻优能力,寻找长短时记忆(long short time memory,LSTM)神经网络的最优超参数,提出BOA-LSTM客流预测模型。以石家...针对地铁站客流预测方法单一、预测准确度较低等问题,基于贝叶斯优化算法(Bayesian optimization algorithm,BOA)的全局寻优能力,寻找长短时记忆(long short time memory,LSTM)神经网络的最优超参数,提出BOA-LSTM客流预测模型。以石家庄地铁1号线北国商城站为例,根据该站客流特征分别采用自回归移动平均(autoregressive integrated moving average,ARIMA)模型、LSTM神经网络和BOA-LSTM模型预测2021年7、8月工作日与自然日的进、出站客流。结果表明:BOA-LSTM模型的客流量预测结果与实际客流量的平均绝对百分比误差、平均绝对误差、均方误差、均方根误差均最小,客流预测准确度较高;BOA-LSTM客流预测模型的适用期为1~2个月,在地铁站短时客流预测中具有较强的实用性。展开更多
文摘激光原理与技术是我国高等院校光电信息科学与工程专业的核心专业课程,其中的实验教学是培养学生动手实践能力和加强理论联系实践的重要环节。在实验教学环节中融入思想政治教育元素,有利于提高学生积极性以及提升教学、育人效果成效。本文以激光原理与技术课程为例,分析实验教学中“课程思政”的教学途径、德育元素,以教学实例探讨目前教学成效情况,最后以深圳大学光电信息科学与工程专业激光原理与技术的思政教育案例进行探讨。Laser Principle and Technology is a core professional course for Opto-Electronic Information Science and Engineering Major in Chinese universities. Experimental teaching is a crucial component for training students’ practical skills and for enhancing the connection between theory and practice. Integrating ideological and political education elements into the experimental teaching process helps increase student engagement and improves the effectiveness of both teaching and education. This paper takes the Laser Principle and Technology course as an example to analyze the teaching approaches and moral education elements in “curriculum ideological and political education” during experimental teaching. It discusses the current effectiveness of these teaching methods through specific teaching examples and examines a case study of ideological and political education in the Laser Principle and Technology course for the major of Opto-Electronic Information Science and Engineering at Shenzhen University.
文摘针对地铁站客流预测方法单一、预测准确度较低等问题,基于贝叶斯优化算法(Bayesian optimization algorithm,BOA)的全局寻优能力,寻找长短时记忆(long short time memory,LSTM)神经网络的最优超参数,提出BOA-LSTM客流预测模型。以石家庄地铁1号线北国商城站为例,根据该站客流特征分别采用自回归移动平均(autoregressive integrated moving average,ARIMA)模型、LSTM神经网络和BOA-LSTM模型预测2021年7、8月工作日与自然日的进、出站客流。结果表明:BOA-LSTM模型的客流量预测结果与实际客流量的平均绝对百分比误差、平均绝对误差、均方误差、均方根误差均最小,客流预测准确度较高;BOA-LSTM客流预测模型的适用期为1~2个月,在地铁站短时客流预测中具有较强的实用性。
