Prediction of chemical carcinogenicity by machine learning approaches

By Tan N. X.   Rao H. B.   Li Z. R.   Li X. Y.  

SAR and QSAR in Environmental Research, Vol. 20, Iss. 1-2, 2009-01 ,pp. : 27-75

Taylor & Francis Ltd

Access to resources Recommend Favorite

Application of regression tress for prediction of water conduits failure rate

By  

E3S Web of conferences, Vol. 22, Iss. issue, 2017-11 ,pp. : 00097-00097

Edp Sciences

Access to resources Recommend Favorite

Quality prediction modeling for sintered ores based on mechanism models of sintering and extreme learning machine based error compensation

By Tiebin Wu  

E3S Web of conferences, Vol. 38, Iss. issue, 2018-06 ,pp. : 02002-02002

Edp Sciences

Access to resources Recommend Favorite

Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong

By Zhang Jiangshe   Ding Weifu  

International Journal of Environmental Research and Public Health, Vol. 14, Iss. 2, 2017-01 ,pp. : 114-114

MDPI

Access to resources Recommend Favorite

Spatial Prediction of Soil Organic Matter Using a Hybrid Geostatistical Model of an Extreme Learning Machine and Ordinary Kriging

By Song Ying-Qiang   Yang Lian-An   Li Bo   Hu Yue-Ming   Wang An-Le   Zhou Wu   Cui Xue-Sen   Liu Yi-Lun  

Sustainability, Vol. 9, Iss. 5, 2017-05 ,pp. : 754-754

MDPI

Access to resources Recommend Favorite