Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 68 of 126 found articles
 
 
  Forecasting of coal seam gas content by using support vector regression based on particle swarm optimization
 
 
Title: Forecasting of coal seam gas content by using support vector regression based on particle swarm optimization
Author: Meng, Qian
Ma, Xiaoping
Zhou, Yan
Appeared in: Journal of natural gas science and engineering
Paging: Volume 21 (2014) nr. C pages 8 p.
Year: 2014
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 68 of 126 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands