摘要
,分析了仿生学应用于空间数据挖掘的必要性及可行性;阐述了神经网络、遗传算法和基因表达式编程的应用研究;探讨了空间数据挖掘仿生学方法以及空间数据挖掘仿生学方法的未来发展.
Following the wide use of the Spatial Data,the research and application of Spatial Data Mining have attracted more and more attention. Beginning with the concept of Spatial Data Mining and the type of minable knowledge,based on analyzing the necessity and feasibility of Bionics applied to spatial data mining,this paper has presented the application of the neural networks and genetic algorithm and Gene Expression Programming and has investigated the bionic methods of Spatial Data Mining.In the last,some discussions are provided on the future development in the bionic methods of Spatial Data Mining.
出处
《广西师范学院学报（自然科学版）》
2009年第2期91-96,共6页
Journal of Guangxi Teachers Education University(Natural Science Edition)
基金
国家自然科学基金(60763012)
关键词
空间数据挖掘
仿生学
神经网络
遗传算法
基因表达式编程
Spatial data mining Bionic Artificial neural networks Geneticalgorithm Gene expression programming
