界面位场的遗传反演方法研究
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
本文分析了Parker—Oldenburg位场反演方法中存在的问题,提出了用位场频率域快速正演方法与遗传算法相结合的位场遗传反演方法。针对遗传算法中收敛速度慢的问题,提出了两方面的改进措施,使这种位场遗传反演方法更为完善。经理论模型验证与实际资料的处理,表明该方法是有效的。
The problems in Parker-Oldenburg potential data inversion method has been analyzed, the Genetic inversion method which combining both fast forward method in frequency domain and Genetic Algorithms has been put forward in this paper. To counter the problem that convergence is slow in Genetic Algorithms, two improved measures were adopted, which made this Genetic inversion more perfection. After computing on theoretical models and using real data, the effection of this potential Genetic inversion method was verified.Ketwords: Fast forward method in frequency domain; Genetic Algorithms; potential Genetic inversion method; moho interface.
引文
1 Parker, R.L., The rapid calculation of potential anomalies, Geophts.J. R. Astr.Soc, 1973, 31: 447—455
    2 Oldenburg.D.W,The inversion and interpretation of gravity anomalies,Geophysics,1974,39(4):526-536
    3 潘作枢.位场资料处理及解释问题.北京:地质出版社,1992.16—22
    4 冯锐.三维物性分布的位场计算.地球物理学报,1986,29(4):399—406
    5 D.E.Goldburg, Genetic Algorithms in Search, Optimization & Machine Learning, Addison—Wesley publishingCompany,Inc.,1989.10—18
    6 孙德梅,等.三维密度界面反演的一个近似方法.物探与化探.1984,8(2):89—98
    7 石琳珂.逐步缩小搜索范围的遗传算法.地球物理学进展(1995,待刊).

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心