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个人信息Personal Information
教授
博士生导师
教师英文名称：Richard
教师拼音名称：Hu Rong
所在单位：计算机科学与数学学院
职务：专业负责人
学历：博士研究生毕业
办公地点：C2-617,c4-203
联系方式：896410521@qq.com
学位：博士学位
在职信息：在职
毕业院校：南京理工大学
学科：计算机科学与技术
- .Fuzzy neural network based energy efficiencies control in the heating energy supply system responding to the changes of user demands[.[J]:Network. Intelligence,:186-194
- .Performance Prediction of Air-conditioning Systems Based on Fuzzy Neural Network.[J]:Journal of Computers:7-20
- .Dynamic Traffic Information Estimation Based on Floating Car Data.[C]:]//International Conference on Smart Vehicular Technology, Transportation, Communication and Applications:123-130
- ."Traffic Condition Recognition Based on Vehicle Trajectory Big Data,".[J]:Journal of Internet Technology,2017,18:1587-1596,
- .Shortest path searching for logistics based on simulated annealing algorithm.[J]:Genetic and Evolutionary Computing
- .Congestion Prediction on Rapid Transit System Based on Weighted Resample Deep Neural Network.[C]:The Euro-China Conference on Intelligent Data Analysis and Applications:586-593
- .Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network.[J]:Journal of Advanced Transportation
- .Crowdedness Prediction on Mass Rapid Transit systems using a Weighted Bidirectional Recurrent Neural Network.[J]:IET Intelligent Transport Systems,
- ."Traffic Intersection Detection Using Floating Car Data":5th IEEE International Conference on Big Data Analytics (ICBDA).
- .Construction Area Identification Method Based on Spatial-Temporal Trajectory of Slag Truck:International Conference on Genetic and Evolutionary Computing,2020
- .A Novel Approach to Identify Intersection Information via Trajectory Big Data Analysis in Urban Environments:Advances in Intelligent Information Hiding and Multimedia Signal Processing,2019
- .Real-Time Path Planning Based on Dynamic Traffic Information:Source title: Advances in Intelligent Systems and Computing,2017
- .Fuzzy neural network based energy efficiencies control in the heating energy supply system responding to the changes of user demands:Journal of Network Intelligence,2017