Urban Traffic Congestion Evaluation Based on Kernel the Semi-Supervised Extreme Learning Machine

Author： Shen Qing   Ban Xiaojuan   Guo Chong  

Publisher： MDPI

E-ISSN： 2073-8994|9|5|70-70

ISSN： 2073-8994

Source： Symmetry, Vol.9, Iss.5, 2017-05, pp. : 70-70

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Graph-Based Semi-Supervised Learning for Indoor Localization Using Crowdsourced Data

By Zhang Liye   Valaee Shahrokh   Xu Yubin   Ma Lin   Vedadi Farhang  

Applied Sciences, Vol. 7, Iss. 5, 2017-04 ,pp. : 467-467

MDPI

Access to resources Recommend Favorite

Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems

By Mad Saad Shaharil   Andrew Allan Melvin   Md Shakaff Ali Yeon   Mat Dzahir Mohd Azuwan   Hussein Mohamed   Mohamad Maziah   Ahmad Zair Asrar  

Applied Sciences, Vol. 7, Iss. 8, 2017-08 ,pp. : 823-823

MDPI

Access to resources Recommend Favorite

Time Series Prediction Based on Adaptive Weight Online Sequential Extreme Learning Machine

By Lu Junjie   Huang Jinquan   Lu Feng  

Applied Sciences, Vol. 7, Iss. 3, 2017-03 ,pp. : 217-217

MDPI

Access to resources Recommend Favorite

Intelligent RFID Indoor Localization System Using a Gaussian Filtering Based Extreme Learning Machine

By Wang Changzhi   Shi Zhicai   Wu Fei  

Symmetry, Vol. 9, Iss. 3, 2017-02 ,pp. : 30-30

MDPI

Access to resources Recommend Favorite

A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set

By Akbulut Yaman   Şengür Abdulkadir   Guo Yanhui   Smarandache Florentin  

Symmetry, Vol. 9, Iss. 8, 2017-08 ,pp. : 142-142

MDPI

Access to resources Recommend Favorite