摘要
本文针对庞大空间数据集性质复杂且非线性、持续性及噪音普遍存在的情况,提出利用模糊神经 网络模型进行空间数据挖掘,并具体讲述其挖掘步骤及发现知识的类型。
Owing to the complexity of the large spatial data sets, and popular circumstances of nonlinear and noise existence, the paper put forward the mining method of spatial data with FNN and described its mining procedure and the types of knowledge discovered.
出处
《山东科技大学学报（自然科学版）》
CAS
2003年第4期24-27,共4页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家自然科学基金资助项目(40174003)
