Prediction of Fluorite Deposit in Yixian Based on Fuzzy-Neural Network
Metallogenic prognosis is a complicated system Influenced by many factors, and the paper put forward a method of fuzzy-neural network since the weighting of factors determined by fuzzy comprehensive appraisement is influenced by man-induced factors. Fuzzy-neural network is based on without model and may automatically get the relationship between input and output It can determine the optimal weighting when the initial value of weighting is established by experts which can weaken the influence of man-induced factors. The method was applied in the prediction of fluorite deposit in Yixian and the results of evaluation were correspondent with the fact The result shows that the method can be used in the predication of ore deposit and that of other deposits if the metallotect and the grade of membership are correctly established on practical situation of appraisal area.
fluorite metallogenic prognosis fuzzy-neural network Yixian.
Sun Xiang
Liaoning Technical University, Fuxin 123000, China
国际会议
The IPACES 6th Annual Meeting(“现代地球科学，交流与合作国际学术研讨会暨第六届IPACES学术年会)
武汉
英文
279-281
2007-04-25（万方平台首次上网日期，不代表论文的发表时间）