摘要
根据石油地质资料的特点,提出了一种应用于地质数据分析的模糊神经网络模型。试验结果表明,用该模型进行地质数据的多变量分析,不用考虑数学模型,神经网络就能以“隐式”表达方式表示出各变量间的关系,对于具有不确定性和模糊性的地质数据,有良好的分析和处理能力,而且精度和速度都比较理想。
This paper presents a kind of fuzzy neural network model which can be used as a geological data classifier. Application shows that it is not necessary to struct the mathematical model when it is used to process geological data. It can express the relashionship among the various variables by its "hidden" forms and handle the unexact and fuzzy data in relative area.It has advanced exactness and speed comparing with other methods.