Forecasting coal and gas outburst based on improved adaptive support vector machine
基于改进的自适应支持向量机建模的煤与瓦斯突出预测*

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.