%0 Journal Article
%T Forecasting coal and gas outburst based on improved adaptive support vector machine<br>基于改进的自适应支持向量机建模的煤与瓦斯突出预测*
%A DAI Hong-liang
%A <br>戴宏亮
%J 计算机应用研究
%D 2009
%I 
%X This paper proposed a new fuzzy function to improve on standard FSVM, also proposed a novel AGAIFSVM model.The model based on adaptive genetic algorithm to optimize the parameters of FSVM. In addition, applied the model to forecast coal and gas outburst. Experimental results show that AGAIFSVM model performs better than BP neural networks,standard SVM and fuzzy clustering method, implying that AGAIFSVM is very practical.
%K fuzzy support vector machine
%K adaptive genetic algorithm
%K coal and gas outburst
%K forecasting<br>模糊支持向量机
%K 自适应遗传算法
%K 煤与瓦斯突出
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=996313B1D56F3ACB4B049A65B9FE6E4D&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=4F4D699E68EBCB79&eid=B221F15A486F30C1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15