Author: Liang Yanchun Sun Yanfeng
Publisher: Taylor & Francis Ltd
ISSN: 1002-0071
Source: Progress in Natural Science, Vol.13, Iss.9, 2003-09, pp. : 696-700
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content
Regional Wind Energy Resource Forecasting Based on SVD and Support Vector Machine
Advanced Materials Research, Vol. 2014, Iss. 1070, 2015-01 ,pp. :
Fire Situation Forecasting Based on Support Vector Machine Optimized by Genetic Algorithm
Advanced Materials Research, Vol. 2014, Iss. 1073, 2015-01 ,pp. :
Recognition and Segmentation Method of Adhering Bars Based on Support Vector Machine
Advanced Materials Research, Vol. 2014, Iss. 1082, 2015-02 ,pp. :
The Fault Diagnosis Method of Support Vector Machine Based on Kernel Fuzzy C-Means Membership
Advanced Materials Research, Vol. 2014, Iss. 1070, 2015-01 ,pp. :
Study on Prediction of Chaotic Time Series Using Least Squares Support Vector Machines
Advanced Materials Research, Vol. 2014, Iss. 1061, 2015-01 ,pp. :