节点文献
GA-ANN综合优化地震属性的应用研究
THE RESEARCH ON THE APPLICATION OF THE SEISMIC ATTRIBUTES OPTIMIZING BASED ON THE GENETIC ALGORITHMS AND THE NEURAL NETWORK METHODS
【摘要】 讨论了应用遗传算法对地震属性进行优化组合的合理性和可行性,并依据遗传算法的框架提出了算法的实现步骤。在设计个体适应度评价函数环节讨论了以对非线性映射具广泛适应性的人工神经网络模型替代优化目标函数的思想的合理性及实现方法。最后以应用实例的数据对算法进行了检验并得到较满意的结果。
【Abstract】 This article discussed the rationality and the feasibility of the optimize combination with the genetic algorithms to the seismic attributes,and proposed the algorithm realization steps based on the genetic algorithms frame.Designed the evaluation function of the individual adaptability,discussed the rationality and the realization methods on the thought of substitute the non-linear mapping artificial neural network of the wide adaptability for target function.Finalactory results.
【关键词】 地震属性;
优化;
遗传算法;
神经网络;
【Key words】 seismic attributes; optimizing; genetic algorithms; neural network;
【Key words】 seismic attributes; optimizing; genetic algorithms; neural network;
【基金】 国家高科技研究发展计划(863计划)(2003AA602110-5)资助
- 【文献出处】 西南石油学院学报 ,Journal of Southwest Petroleum Institute , 编辑部邮箱 ,2006年04期
- 【分类号】P631.4
- 【被引频次】8
- 【下载频次】148