基于退火BP神经网络的GPS高程转换

阐述模拟退火算法的基本思想和原理,提出并介绍模拟退火算法优化的BP神经网络模型在GPS高程转换中的具体应用,同时编写相应的MATLAB处理程序,结合大量数据进行仿真实验,结果表明文中提出的退火BP神经网络模型具有收敛速度快、精度高、避免陷入局部最小的优良特性。     

改进的模拟退火－单纯形综合反演方法

实际中的大量地球物理反演是一个多参数、非线性优化问题,所采用的目标函数,即度量由参数化的理论模型得出的预测值与观测值的吻合程度,往往具有多个局部极值．针对这类问题,本文综合全局反演方法具有的全域搜索能力强、局部方法收敛速度快和“均匀设计”布点效率高的特点,提出了模拟退火－单纯性综合反演方法,并通过一维声波非线性反演验证了这种综合方法的搜索能力和效率．     

Modeling the seismic response of basin-edge structure by a sequential waveform method

A sequential waveform method is developed to simulate the seismic response of basin-edge structure excited by a plane incident P-wave. The full procedure involves: (a) a previous parameterization of the investigated model using the seismic wave velocities and depths of the sedimentary stratifications; (b) an input motion determined from the records at stations installed on hard rock; (c) forward computation of the P-SV elastic wave field by means of a two-dimensional finite difference (FD) method; (d) the optimization of the model vector using simulated annealing technique and comparing the simulated seismic response of the tested structure with the observed wave field; (e) the correction of the initial model by trial-and-error by testing the differences between synthetics and observed data, and (f) the final solution obtained by iteration using the conjugate gradient algorithm. The search of an optimal basin-edge model has been parallel processed by varying the shapes and velocities of strata on the basis of the fitting of relative timing, amplitude and phase between the output and the observed data. The input motion and sensitivity have been checked and the validity of the method has been demonstrated by numeric analysis. Using the teleseismic records generated by 7 earthquakes recorded at 26 broadband seismic stations, we have studied the seismic velocity structure of the southern edge of the Jiyang depression located in the Bohai Bay basin, northern China. Two cross sections show an agreement between the velocity results and the geological sections available in the region. In addition, we obtain evidence of three hidden faults under the sections and features that suggest major extensions at the Paleogene.     

地震静校正全局最优化问题的求解

针对地震静校正存在的非线性和多参数性等问题，本文提出了一种全局优化的剩余静校正方法.在模型更新规则上，把模拟退火方法和均匀优化设计方法结合在一起，使模型的更新更为合理，从而加快了搜寻全局最优解的速度.同时提出了模型的不同分量的温度参数和退火过程的选取方式，把温度参数的选取与地震剖面的能量联系起来，使温度参数的选取具有自适应的特点.该方法克服了常规模拟退火方法所具有的寻优空间不均匀以及退火参数需通过多次试验选取的缺陷.通过实际地震资料的计算证明，本文提出的方法对地震静校正问题合理而有效.     

Geostatistical simulation of random fields with bivariate isofactorial distributions by adding mosaic models

This work deals with the geostatistical simulation of a family of stationary random field models with bivariate isofactorial distributions. Such models are defined as the sum of independent random fields with mosaic-type bivariate distributions and infinitely divisible univariate distributions. For practical applications, dead leaf tessellations are used since they provide a wide range of models and allow conditioning the realizations to a set of data via an iterative procedure (simulated annealing). The model parameters can be determined by comparing the data variogram and madogram, and enable to control the spatial connectivity of the extreme values in the realizations. An illustration to a forest dataset is presented, for which a negative binomial model is used to characterize the distribution of coniferous trees over a wooded area.     

混合禁忌搜索算法在湖泊富营养化评价中的应用

本文提出了幂函数加和型湖泊富营养化评价指数公式,同时将禁忌搜索算法与模拟退火、免疫进化算法有机地结合起来,建立了求解优化问题的混合禁忌搜索算法(HTS).将此算法用于评价指数公式的参数优化,从而建立起湖泊富营养化综合评价模型,为湖泊富营养化评价和预测提供了一条有效的途径.将优化好的湖泊富营养化模型用于东湖富营养化评价的实例研究,结果表明此评价模型能较好地反映湖泊富营养化水平,并具有较好的通用性和实用性.     

一种新的地球物理反演方法——模拟原子跃迁反演法

详细研究了一般地球物理反问题的迭代优化求解过程与物理学中原子跃迁过程的对应关系,建立了反演问题中模型空间、初始模型、局部极值模型、最优化模型等与原子的态空间、定态、激发态、基态等的对应关系. 在此基础上,模拟了物理学中原子从激发态向基态跃迁的物理过程,建立了一种与原子跃迁过程相对应的非线性随机跃迁数学模型和模型解跃迁搜索准则,导出了适用于一般地球物理资料的模拟原子跃迁的非线性反演算法. 用理论测试函数对这种新的反演方法进行了数值试验,结果表明该方法具有解不依赖于初始模型、收敛速度快等优点.     

广东房地产业发展现状与前景分析

房地产开发热潮令理论界，新闻界和广大民众所关注，本文试图对广东省房地产发展的现状、特点及其主要问题作全面的分析，并提出解决问题的对策和建议，以及对广东省房地产业的发展前景作尝试性的探讨。     

地球物理非线性反演模拟退火法的改进

在地球物理非线性反演方法中，模拟退火法是一种较先进的启发式蒙特卡洛（ＭｏｎｔｅＣａｒｌｏ）方法．但是，在处理实际资料时，该方法存在着计算效率不够高的缺点，有时还会失效．为此，从模拟退少法的关键问题──最低温度的选择入手，根据模拟退火法与统计力学的吉布斯－马尔柯夫（Ｇｉｂｂｓ－Ｍａｒｋｏｖ）模型之间的关系导出临界温度的近似表达式；用此式分析目标函数超曲面形状对模拟退火法计算的影响；提出利用模糊先验信息确定最低温度、改造目标函数等改进措施．     

GPS网的模拟优化设计

对GPS网与常规控制网的优化设计进行比较与分析，给出了GPS网平差及优化设计的数学模型，并对一个实例采用模拟法对一，三阶段进行了优化设计，得出了一些结论。