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科研机构
兰州理工大学 [6]
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会议论文 [6]
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内容类型:会议论文
专题:兰州理工大学
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Short Term Traffic Flow Forecasting Based on Improved Echo State Network
会议论文
作者:
Cao, Jie
;
Yu, Da-Wei
;
Hou, Liang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/15
Short Term Traffic Flow Forecast
Echo State Network
Reservoirs
Topological Structure
Network traffic prediction based on LSSVM optimized by PSO
会议论文
作者:
Yang, Yi
;
Chen, Yanhua
;
Li, Caihong
;
Gui, Xiangquan
;
Li, Lian
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/15
Network traffic prediction
Particle swarm optimization
Least square support vector machine
Network Traffic Prediction Based on LSSVM Optimized by PSO
会议论文
Denpasar, Bali, Indonesia, December 9, 2014 - December 12, 2014
作者:
Yang, Yi
;
Chen, Yanhua
;
Li, Caihong
;
Gui, Xiangquan
;
Li, Lian
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/11/15
Artificial intelligence
Computer networks
Forecasting
Least squares approximations
Particle swarm optimization (PSO)
Support vector machines
Trusted computing
Ubiquitous computing
Empirical testing
Forecasting methods
In-network management
Least square support vector machines
Least squares support vector machines
Network traffic predictions
Seasonal adjustments
Traffic Engineering
Location selection of public transit transfer hubs based on gray NN model improved by GA
会议论文
Xiamen, China, December 27, 2012 - December 28, 2012
作者:
An, Tang Min
;
Ming, Wang Xiao
;
Shuang, Yuan
;
Rong, Sun Zhen
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/11/15
Forecasting
Genetic algorithms
Neural networks
Optical materials
Soft computing
System theory
Traffic control
Urban transportation
Empirical analysis
Flow based
Forecast method
Gray characteristics
Gray neural networks
Gray system theory
Improve performance
Lanzhou cities
Location selection
Optimized models
Poor information
Public transit
Public transport
Small samples
Traffic flow
Traffic systems
Enhancing efficiency of intrusion prediction based on intelligent immune method
会议论文
Changsha, China, August 18, 2010 - August 21, 2010
作者:
Cao, Lai-Cheng
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  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Computation theory
Forecasting
Intrusion detection
Packet networks
Dynamic load balancing algorithms
False alarm rate
False negative rate
False positive rates
Heavy traffic load
High performance networks
Matching algorithm
Prediction methods
Application of optimization theory & method in Lanzhou traffic demands forecasting
会议论文
作者:
Li, SP
;
Yuan, ZT
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/11/15
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