摘要
分析了建立矿床地质模型传统的估值方法的不足 ,针对地质变量之间具有空间局域性、连续性和各向异性 ,以及高度非线性关系的特征 ,阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性 ,建立了地质变量参数估值计算的神经网络模型的基本结构 ,描述了地质变量与其影响因素之间的非线性映射关系 。
The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological variables and their influence factors is described also. Thereby the estimating method of geological model based on neural network is brought forward.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2000年第3期234-237,共4页
Journal of China Coal Society
