变形分析的神经网络技术应用实例

大型工程施工过程中的变形监测、分析与预报极为重要。变形分析建模的方法很多,神经网络技术的应用是其中之一。文中结合某深基坑工程的监测资料和工作经验,运用神经网络BP算法进行预测分析。简述BP神经网络的基本概念,介绍基坑变形分析的BP神经网络的具体模型结构,将神经网络方法预报结果与实测数据对比效果较好。该成果对生产实践具有参考价值。     

Slope stability evaluation using Back Propagation Neural Networks

The Yudonghe landslide, located in western Hubei Province of China, consists of eastern and western subunits as well as a main landslide mass with upper and lower slip surfaces. As an important landslide close to Shuibuya Dam on the Qing River, its stability is crucial, as the slide might reactivate because of a change in ground-water level caused by filling of the Shuibuya Reservoir. Existing weakness zones, growth of ruptures, the downslope attitude of geologic strata, and water infiltration, which reduced the strength of rocks and soils, have been found to be the most important factors contributing to the Yudonghe landslide. With regard to the landslide processes, it can be noted that the original large-scale slide activity was due to erosion by the Qing River, the second sliding resulted from the fall of blocks from the head scarp, and the final activity was the growth of the eastern and western secondary slides. A base failure was the main type of slope movement, however, it was obvious that more than one sliding event occurred, as inferred from striations and fractures detected by microstructure analysis of soils along the failure surfaces. Slope instability was evaluated by the method of Back Propagation Neural Networks (BPNN), in which a four-layer BPNN model with five input nodes, two hidden layers, and two output nodes was constructed using a training data set of landslide samples throughout the Qing River area. The predicted results of this analysis showed that the factor of safety was 1.10, which indicates that the Yudonghe landslide is currently in a marginally stable condition.     

基于机理的合成孔径雷达系统成像误差理论分析

目前在遥感和GIS中,关于误差和不确定性研究的主要方法有两种: 概率统计和机理模拟。本文论述了二者的特点,详细讨论了影响合成孔径雷达成像的诸多因素,提出利用机理的方法分析SAR系统成像误差。本方法是从合成孔径雷达成像机理的研究出发,利用控制论的观点来解释、分析影响合成孔径雷达成像的诸多误差因素并建立误差传播模型。这不仅对研制合成孔径雷达的设计具有指导意义,而且对遥感数据的质量控制也有重要意义。     

基于模糊神经网络(FNN)的赤潮预警预测研究

为研究各种理化因子与赤潮藻类浓度间的非线性对应规律和有效预测赤潮藻类浓度,构建了基于BP 算法的一个四层模糊神经网络模型。将模糊神经网络(FNN)技术引入赤潮预测研究,并与普通 BP 网络、RBF 网络的结果作比较,结果表明,该模型能够较好地反演出各种理化因子与夜光藻密度的非线性对应变化规律,有更好的预测功能。     

驼背鲈引种驯养及人工诱导性腺发育和繁殖

为探讨通过人工诱导获得驼背鲈成熟亲鱼的途径,在室内水池进行驼背鲈驯养研究;用口服和注射性激素、控温、控光、营养强化、模拟生态条件等方法处理驼背鲈以诱导其性腺发育。结果表明,控光和模拟生态条件不能有效诱导性腺发育;激素、控温和营养强化相结合可诱导驼背鲈性腺发育并成熟。对其中１ 组诱导成熟的亲鱼（雌、雄各１ 尾）进行人工催产后,亲鱼自然产卵受精,孵出仔鱼２ 万尾。驼背鲈在驯养条件下生长较快;通过人工控制和诱导可达到性腺发育和成熟,性腺发育速度较快。     

断裂系扩展过程与地球物理场变化特征的实验研究

给出了判断断裂之间有无相互作用的力学判据.为了研究断裂间相互作用对地球物理场的影响,对若干类常见断裂系的扩展过程及扩展过程中的声发射b 值和波速变化进行了模拟实验研究.结果表明,各种断裂系由于相互作用的不同,扩展过程,声发射b 值和波速度化均有明显的不同特征.     

用数字测高仪漂移测量研究电离层声重波扰动

数字测高仪Digisonde中的漂移测量,常用来研究小尺度电离层扰动,如电离层小不均匀体的漂移。文中提出一种新的分析方法,利用漂移测量数据中多普勒频移和到达角参量的最大熵动态功率谱,估算声重波一类大尺度电离层扰动的水平传播速度和传播方向。作为实例,研究了Millstone Hill测高仪站的漂移观测资料,并对处理结果进行了初步分析。分析结果表明,从数字测高仪漂移测量数据中,可有效地提取声重波一类大尺度电离层扰动的传播参量,在电离层动力过程的研究中很有意义。     

层状各向同性多孔介质中井间地震的数值计算

依据Ｂｉｏｔ理论，提出计算理论地震图的相应传播矩阵算法，并针对井间地震震源和检波器的不同配置进行数值计算，结果表明，本文算法高频可达１０００Ｈ２以上．文中算例说明利用震源和检波器相对于储油层的不同位置，可从反射震相记录波形上的差异，判定储油层存在与否．     

多层基础隔震房屋结构在水平地震力作用下的振动传递

文章将周期结构原理与导纳方法结合起来，分析了带复合结构单元的有阻尼的有限周期系统的波传播和振动特性，得到了有限周期结构自振频率的一般表达式。     

Triggered-lightning properties inferred from measured currents and very close electric fields

Triggered-lightning properties, including dart-leader charge density, return-stroke propagation speed, dart-leader electric potential, dart-leader propagation speed, and dart-leader current, inferred from return-stroke current and very close electric field measurements, are presented. Although most of the estimates are based on relatively crude models, they are all generally in good agreement with independent measurements and/or theoretical considerations found in the literature. The results are likely to be applicable to subsequent strokes in natural lightning.