为了解决电子信息工程专业算法与数据结构课程存在的问题,提出基于翻转课堂和基于成果教学(outcome based education,OBE)的教学新模式。以学生为主导,将教学过程分为课前、课中、课后三阶段,设计从抽象到通俗再到抽象的循环上升教学方...为了解决电子信息工程专业算法与数据结构课程存在的问题,提出基于翻转课堂和基于成果教学(outcome based education,OBE)的教学新模式。以学生为主导,将教学过程分为课前、课中、课后三阶段,设计从抽象到通俗再到抽象的循环上升教学方案,并以具体案例展示教学效果。实践结果表明,新模式能提高学生学习的主动性,实现理论基础与实践能力共同提高的教学目标。展开更多
The random forest model is universal and easy to understand, which is often used for classification and prediction. However, it uses non-selective integration and the majority rule to judge the final result, thus the ...The random forest model is universal and easy to understand, which is often used for classification and prediction. However, it uses non-selective integration and the majority rule to judge the final result, thus the difference between the decision trees in the model is ignored and the prediction accuracy of the model is reduced. Taking into consideration these defects, an improved random forest model based on confusion matrix (CM-RF)is proposed. The decision tree cluster is selectively constructed by the similarity measure in the process of constructing the model, and the result is output by using the dynamic weighted voting fusion method in the final voting session. Experiments show that the proposed CM-RF can reduce the impact of low-performance decision trees on the output result, thus improving the accuracy and generalization ability of random forest model.展开更多
TN383 97010022老化产生的深能级对GaP纯绿发光二极管发光效率的影响=The influence of deep leveIs to thedegradation on the luminescence efficiency ofGaP pure green light-emitting diodes[刊,中]/苏锡安,高瑛,赵家龙。
文摘为了解决电子信息工程专业算法与数据结构课程存在的问题,提出基于翻转课堂和基于成果教学(outcome based education,OBE)的教学新模式。以学生为主导,将教学过程分为课前、课中、课后三阶段,设计从抽象到通俗再到抽象的循环上升教学方案,并以具体案例展示教学效果。实践结果表明,新模式能提高学生学习的主动性,实现理论基础与实践能力共同提高的教学目标。
基金Science Research Project of Gansu Provincial Transportation Department(No.2017-012)
文摘The random forest model is universal and easy to understand, which is often used for classification and prediction. However, it uses non-selective integration and the majority rule to judge the final result, thus the difference between the decision trees in the model is ignored and the prediction accuracy of the model is reduced. Taking into consideration these defects, an improved random forest model based on confusion matrix (CM-RF)is proposed. The decision tree cluster is selectively constructed by the similarity measure in the process of constructing the model, and the result is output by using the dynamic weighted voting fusion method in the final voting session. Experiments show that the proposed CM-RF can reduce the impact of low-performance decision trees on the output result, thus improving the accuracy and generalization ability of random forest model.
文摘TN383 97010022老化产生的深能级对GaP纯绿发光二极管发光效率的影响=The influence of deep leveIs to thedegradation on the luminescence efficiency ofGaP pure green light-emitting diodes[刊,中]/苏锡安,高瑛,赵家龙。
