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远程智能学习系统自反馈模型的建模研究 被引量:1
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作者 刘小玲 潘巨辉 《远程教育杂志》 2003年第5期11-12,共2页
为了满足远程智能学习系统中个性化教学的要求,本文引入了自反馈模型,通过动态收集学生的学习动作.学习方式,知识理解情况等诸多因素,经过自反馈系统的分析、推理.快速获得学习者的学习能力.学习特征等反馈结果.为个性纯学习,动态形成... 为了满足远程智能学习系统中个性化教学的要求,本文引入了自反馈模型,通过动态收集学生的学习动作.学习方式,知识理解情况等诸多因素,经过自反馈系统的分析、推理.快速获得学习者的学习能力.学习特征等反馈结果.为个性纯学习,动态形成学习内容提供了依据。 展开更多
关键词 远程智能学习系统 自反馈模型 个性化教学 学习方式 远程教育 模糊推理
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Microscopic simulation of multi-lane traffic under dynamic tolling and information feedback 被引量:4
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作者 刘天亮 黄海军 田丽君 《Journal of Central South University》 SCIE EI CAS 2009年第5期865-870,共6页
To investigate drivers' lane-changing behavior under different information feedback strategies,a microscopic traffic simulation based on the cellular automaton model was made on the typical freeway with a regular ... To investigate drivers' lane-changing behavior under different information feedback strategies,a microscopic traffic simulation based on the cellular automaton model was made on the typical freeway with a regular lane and a high-occupancy one. A new dynamic tolling scheme in terms of the real-time traffic condition on the high-occupancy lane was further designed to enhance the whole freeway's flow throughput. The results show that the mean velocity feedback strategy is generally more efficient than the travel time feedback strategy in correctly guiding drivers' lane choice behavior. Specifically,the toll level,lane-changing rate and freeway's throughput and congestion coefficient induced by the travel time feedback strategy oscillate with larger amplitude and longer period. In addition,the dynamic tolling scheme can make the high-occupancy lane less congested and maximize the freeway's throughput when the regular-lane inflow rate is larger than 0.45. 展开更多
关键词 information feedback strategy dynamic tolling scheme cellular automaton model high-occupancy lane
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