基于遗传算法地震短期综合预报分类系统在天山地震带的应用

应用“基于遗传算法的地震预报分类系统”建立天山地震带8个区的地震短期综合预报模型。在前人研究基础上对此分类系统的应用方法做了以下改进：以半年或一年样本窗内的地震活动资料预报未来3个月最大地震;采用阈值划分异常,区分高值和低值异常两类参数,再用异常持续时间进行地震环境信息编码;在研究区内,根据一年和半年样本窗和震级错半级的分档形式,形成4种地震环境信息编码方式。计算机自动运行此系统程序,寻找各自的预报模型。对预留样本的检验按震级区间进行规则对应率、虚报率和地震对应率、漏报率的效能评价,结果表明南天山各区检验情况好于北天山;对北天山预测出5级以上、南天山6级以上地震以及能给出有效重叠震级区间的模型加权后认为南天山中西段、柯坪块体区检验情况较好。结果还表明半年样本窗检验效能普遍高于一年窗,对较低震级的检验情况一般要好于较高震级。     

InSAR相位解缠算法比较及误差分析

介绍和比较了残差缺口法、最小二乘法和统计耗费网络流算法 ,并研究了解缠相位误差对DEM和地壳变形的影响。通过理论分析和实际计算发现 ,无论计算效率还是解缠精度 ,残差缺口法都优于最小二乘法。统计耗费网络流算法在残差缺口算法基础上又有创新 ,是一种最具潜力的新型算法     

Object Extraction Based on Evolutionary Morphological Processing

This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filters is iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.     

特种遗产资源研究基本问题--中国世界遗产与国家公园研究形势与任务

特种遗产是本文对世界遗产与国家公园认定、保护、保存、展示和遗传后代的科学研究所作的理论概括,同时界定了特种遗产与特种遗产资源的概念,讨论了中国的特种遗产———世界遗产与国家公园研究形势,提出了特种遗产资源研究的8个基本问题。     

Human genome behaviour: a powerful mechanism for optimizing the use of space technology in surveying networks design

An approach based on the behaviour of human genome is developed to efficiently provide a general framework for optimizing the use of space technology in surveying networks design. The developed approach attempts to apply the successful self-organizing principles based upon the biological evolution to artificial intelligence. It mimics the phenomena of natural selection observed in nature to achieve its goals by continuously adopting a population of candidate solutions and improving its performance over successive generations. The goal of adaptation is to find the best solution that optimizes the design of a surveying network based on the use of satellite observations. This network can be defined as a set of stations, co-ordinated by a series of sessions formed by placing receivers on the stations. The problem is to search for the best order for observing these sessions to give the best observation schedule at minimum cost. The obtained results prove the effectiveness of the developed technique in term of solution quality and computational efforts. The Corresponding Author in formed me that his address is likely to change soon. Please contact me, leick@spatial.maine.edu for the latest on this change.     

大型地下洞室群参数反演及其工程应用

基于三维弹塑性有限元及遗传算法,结合西龙池抽水蓄能电站工程实际,首先用小模型分段模拟工程中有明显差异的几个不同段位,并反演得到围岩物理力学参数及支护前围岩位移释放系数。在此基础上,对洞室进行了二期开挖计算,成功预测了二期开挖后洞室变位、围岩稳定、锚杆锚索应力等状况,揭示了洞室应力集中和围岩的潜在破坏部位,对工程施工具有重要指导意义。     

Genetic algorithms in probabilistic finite element analysis of geotechnical problems

In application to numerical analysis of geotechnical problems, the limit-state surface is usually not known in any closed form. The probability of failure can be assessed via the so-called reliability index. A minimization problem can naturally be formed with an implicit equality constraint defined as the limit-state function and optimization methods can be used for such problems. In this paper, a genetic algorithm is proposed and incorporated into a displacement finite element method to find the Hasofer–Lind reliability index. The probabilistic finite element method is then used to analyse the reliability of classical geotechnical systems. The performance of the genetic algorithm (GA) is compared with simpler probability methods such as the first-order-second-moment Taylor series method. The comparison shows that the GA can produce the results fairly quickly and is applicable to evaluation of the failure performance of geotechnical problems involving a large number of decision variables.     

基于三维有限元分析的土钉支护结构优化设计研究

通过建立三维有限元模型，对土钉支护的变形和受力性能进行分析，得出土钉力的合理分布。在此基础上，考虑土钉支护的水平位移，采用遗传算法＋复合形法，对土钉支护的结构优化设计进行研究，建立了土钉支护结构的优化设计数学模型，并编制了相应的计算程序。通过算例分析，并与基于极限平衡分析的优化结果相比较，得出合理的土钉支护结构设计的参考结论。     

TSIP中期地震预报方法在辽宁地区的应用与研究

本文用ＣＮ算法研究了辽宁省两个地震重点监视防御区的中强震前的强震发生概率增长时间,结果表明预测效果较好,有震报准率为９０％,ＴＩＰ预测警戒占时空率为３０％左右,Ｒ值评分为０．６左右。在ＴＩＰ预测的基础上,进一步用ＳＩＰ方法分析这两个区域的空间背景发震概率的不均匀分布。综合应用ＴＩＰ方法和ＳＩＰ方法,对辽宁省及邻近地区进行了试验性地震预报。     

基于遗传算法的影像纹理分类

阐述了遗传算法的基本原理,提出了与马尔柯夫随机场相结合的遗传算法在影像纹理分类中的应用。通过对４种纹理取样的实验,表明这种影像纹理分类方法可以提高分类的正确率。