The Application Study of Gray Elman Neural Networks to Fire Accident Prediction
Shuangqi Hu · Zhongguo anquan kexue xuebao · 2009
A gray Elman network model for fire accident prediction based on gray theory and neural networks is put forward.Then,the fire data(fire frequency)from 1998 to 2005 are fitted respectively by GM(1,1)and the gray Elman network model,and the number of fire accidents in 2006 and 2007 is predicted.The results show the gray Elman network model is suitable for the fire accident prediction;it can effectively solve the problems of big error and weak stability existing in the traditional gray prediction model.