多尺度逐次逼近遗传算法反演大地电磁资料

遗传算法是一种随机全局搜索算法,与常规的基于局部线性化的最优化方法相比对初始模型的依赖性大为减弱,但是存在着有效基因丢失和早熟收敛问题．采用多尺度逐次逼近反演思想而建立的多尺度逐次逼近遗传算法,能有效地解决上述问题．用该算法对大地电磁资料进行反演,理论曲线和实测资料的试算结果表明多尺度逐次逼近遗传算法能够自动反演地电参数．     

��ά����ɨ�����ֱ���Զ���ȡ�㷨�о�

???????????????д???????????????????????????????????н??????????????????Щ?????????????????????????д?????????????????????Ч????????????????????????е??????????????RANSAC????????????н???????????????????Ч???????????????н?????????????????????????????????????????????????????????????????????????????????????     

一种有向权图的拓扑排序算法及其应用

提出一种有向权图的拓扑排序算法，并给出一实例说明其应用。     

图着色的混合遗传算法研究

研究了一种结合贪心算法的混合遗传算法及其各种交叉算子,应用于平面图的四色着色问题。通过实验分析对比了该混合遗传算法的4种可行的交叉算子对该算法的影响,结果显示,边重组交叉算子效果最好。     

AR模型中AO类异常值探测及其在GPS卫星钟差预报中的应用

基于EM算法,提出一种AR模型中AO类异常值(additive outlier)探测的算法。该算法可同时进行AR模型拟合与AO类异常值探测,并可有效地解决成片AO类异常值探测时所产生的掩盖和淹没问题。最后,将本文算法应用于GPS卫星钟差预报之中。本文算法可以准确探测出钟差历史观测序列中的AO类异常值,并可对卫星钟差进行精确预报。     

POS辅助下的车载序列影像匹配

针对车载序列影像中所包含的具有大量重复纹理的建筑立面区域给现有匹配方法带来的误匹配率高、匹配点不足等不适应性问题,提出了一种联合POS辅助及KLT（Kanade-Lucas-Tomasi）角点特征跟踪的新匹配方法。通过充分利用POS信息所能够建立的局部近似建筑立面分层平面及DEM信息,获取KLT跟踪算法中所需的初始位移信息,并将建筑立面及路面区域进行分开追踪匹配,以保证匹配点的良好分布特性,最后利用RANSAC结合核线约束进行误差剔除得到最终匹配结果。试验证明本文方法能够有效解决车载序列影像中重复纹理区域的匹配问题,可高效获取分布均匀、数量充足的匹配特征点,为后期空中三角测量提供更稳健的同名约束条件。     

单自由度系统地震动力反应的实时计算方法

本文对计算单自由度系统地震动力反应的频域方法和时域方法进行了分析比较。说明了目前时域方法所存在的问题,指出寻找一种在计算精度上与频域方法等价的时域算法是一个值得研究的重要课题。据此,本文提出了一套能较精确模拟单自由度系统传递函数的时域方法。其计算格式采用具有较高计算效率的递归格式。理论分析与数值试验表明,该方法具有精度优于其他时域算法、速度快的特点,可应用于强震观测台网中强地震动参数的实时计算。     

天山中东段地区震源参数的初步应用研究

采用多台多地震联合反演的方法,首先得到了新疆天山中东段地区2001年以来MS≥2.5的105次中小地震的震源谱,进而测定了地震矩、拐角频率与应力降等震源参数,并讨论了它们之间的相互关系。在此基础上开展了该研究区应力降时空变化的动态跟踪工作,最后对研究区2004年6月以前的应力降时空演化特征做了一定程度的探讨。分析表明,该地区的地震矩、拐角频率与应力降等震源参数与震级有一定的相关性,应力降的时空演化特征可以作为该地区今后地震趋势预测的一种新手段。     

A reassessment of dynamic characteristics of the Quincy Bayview Bridge using output‐only identification techniques

A reassessment of the dynamic characteristics of the 542 m cable‐stayed Bayview Bridge in Quincy, Illinois, is presented using a newly developed output‐only system identification technique. The technique is applied to an extensive set of ambient vibration response data acquired from the bridge in 1987. Vertical, torsional and transverse modal frequencies of the deck are identified, and uncertainty in damping values are estimated using an automated procedure on several redundant measurements at four locations. Important practical implementation issues associated with the implementation of the procedure and selection of algorithm design parameters for stochastic subspace identification techniques are discussed. An overall mean and standard deviation of damping of 1.0±0.8% is estimated considering all identified vertical, torsional and transverse modes in the 0–2 Hz band. The mean damping for the fundamental vertical mode (0.37 Hz) is identified as 1.4±0.5%, and for the first coupled torsion–transverse mode (0.56 Hz) is identified as 1.1±0.8%. Variability in the damping estimates is shown to decrease as estimated modal RMS acceleration levels increase. Standard deviations on estimated damping range from 0.05% to 2%. The results are shown to be a substantial improvement in the evaluation of damping compared to earlier spectral analysis conducted on the same data set. Copyright © 2005 John Wiley & Sons, Ltd.     

Stochastic modeling applications for the prediction of COD removal efficiency of UASB reactors treating diluted real cotton textile wastewater

A three-layer Artificial Neural Network (ANN) model (9:12:1) for the prediction of Chemical Oxygen Demand Removal Efficiency (CODRE) of Upflow Anaerobic Sludge Blanket (UASB) reactors treating real cotton textile wastewater diluted with domestic wastewater was presented. To validate the proposed method, an experimental study was carried out in three lab-scale UASB reactors to investigate the treatment efficiency on total COD reduction. The reactors were operated for 80 days at mesophilic conditions (36–37.5°C) in a temperature-controlled water bath with two hydraulic retention times (HRT) of 4.5 and 9.0 days and with organic loading rates (OLR) between 0.072 and 0.602 kg COD/m³/day. Five different dilution ratios of 15, 30, 40, 45 and 60% with domestic wastewater were employed to represent seasonal fluctuations, respectively. The study was undertaken in a pH range of 6.20–8.06 and an alkalinity range of 1,350–1,855 mg/l CaCO₃. The concentrations of volatile fatty acids (VFA) and total suspended solids (TSS) were observed between 420 and 720 mg/l CH₃COOH and 68–338 mg/l, respectively. In the study, a wide range of influent COD concentrations (COD_i) between 651 and 4,044 mg/l in feeding was carried out. CODRE of UASB reactors being output parameter of the conducted anaerobic treatment was estimated by nine input parameters such as HRT, pH, COD_i concentration, operating temperature, alkalinity, VFA concentration, dilution ratio (DR), OLR, and TSS concentration. After backpropagation (BP) training combined with principal component analysis (PCA), the ANN model predicted CODRE values based on experimental data and all the predictions were proven to be satisfactory with a correlation coefficient of about 0.8245. In the ANN study, the Levenberg-Marquardt Algorithm (LMA) was found as the best of 11 BP algorithms. In addition to determination of the optimal ANN structure, a linear-nonlinear study was also employed to investigate the effects of input variables on CODRE values in this study. Both ANN outputs and linear-nonlinear study results were compared and advantages and further developments were evaluated.