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。     

b值在地震预测中的三类应用及其物理基础与须注意的问题

将b值在地震预测中的直接应用归为三类：1）根据b值的动态变化预测地震。2）根据G－R律求出各级地震平均复发周期或年均发生率，推测未来一定时段如50年或100年内发生各级地震的危险性。3）根据G－R直线在横轴的截距，预测强余震的震级。讨论了这三种用法的物理基础及现有工作中容易出现的问题。     

CASIOfx-4500PA型计算器在矿床地质勘查中的应用

CASIOfx-4500PA型计算器为可编程、大容量的科学计算器。通过对地质计算中面积计算、槽坑钻样品厚度计算、钻孔弯曲度修正值计算的原理阐述，简化了计算程序，提高了计算效率。     

电法在探测岩溶上的应用

通过对电法中几种常用方法的分析，说明其在岩溶探测中有效，并提出了七种确定岩溶的方法。     

豫西济源谭庄组河流沉积中的Stipsellus遗迹组构

豫西济源盆地上三叠统谭庄组下段为曲流河沉积。本文通过描述和分析谭庄组河流沉积特征，划分了4种不同河流沉积组合类型，识别出Stipsellus遗迹组构，并发现该遗迹组构常与曲流河沉积物伴生，可作为此类沉积的典型生物遗迹标志。其中，Stipsellus sp．A代表发育在河漫滩较浅水体下或潮湿的软底细粒沉积物中的一种遗迹组构类型；Stipsellus sp．B则代表发育在曲流砂坝上部的男一种遗迹组构类型。     

Study on simulating strong ground motion by fractal stochastic method

The time history of strong ground motion can be synthesized by empirical Green's function (EGF) method.Firstly a large seismic event is discretized into a series of subevents; secondly recordings of earthquakes with proper size and spatial distribution are chosen as time history (EGF) of those subevents; finally the EGFs are summated to get the time history of ground motion caused by the large event.     

Studies on wind environment around high buildings in urban areas

High buildings or architectural complex in urban areas remarkably distort the urban surface wind fields. As the air flow approaches,local strong wind may appear around the buildings. The strong wind makes the pedestrians on sidewalks, entrances and terrace very uncomfortable and causes the pedestrian level wind environment problem. In this studies, hot-wire wind measurement, wind scouring in wind tunnel and numerical computation were carried out to evaluate the wind environment of tall buildings in the prevailing flow conditions in Beijing areas. The results obtained by three techniques were compared and mutually verified. The conclusions drawn from three approaches agree with each other. Also the advantages and limitations of each method were analyzed. It is suggested that the combination of different techniques may produce better assessment of wind environment around high buildings.     

基于A- CGAN的深反射地震数据随机噪声压制方法研究

基于深度学习的地震数据噪声压制方法是当前地震数据去噪处理的重要方向。深度学习方法突破了传统滤波处理的局限,在对常规地震数据的噪声压制中表现出效率高、信噪分离效果好的特点。但针对深部弱有效反射数据,当前的深度学习方法特征提取能力有限,难以取得较好的去噪效果。笔者等结合深反射地震数据特点,针对当前深度学习噪声压制方法在特征提取及对数据集依赖上的局限,提出了基于注意力循环生成对抗网络(Attention Cycle- Consistent Generative Adversarial Networks,A- CGAN)的深反射地震数据随机噪声压制方法。借助循环一致生成对抗网络(Cycle- Consistent Generative Adversarial Networks,Cycle- GAN)的域映射思想,降低对数据集的要求。为了构建适用于深反射地震数据的去噪网络,从3个方面对Cycle- GAN进行改进：在Cycle- GAN的生成器（去噪器）中加入残差结构和注意力机制,用于加深网络深度和提高其特征提取能力;在Cycle- GAN的鉴别器中使用块判决,提高鉴别精度和准确度;在损失函数部分加入感知一致性损失函数,提升网络模型恢复纹理细节信息的能力。通过合成地震数据和实际深反射地震数据测试,验证了优化算法的有效性,体现了良好的应用价值。     

Molecular characterization and expression of the SiUCP2 gene in sea urchin Strongylocentrotus intermedius

Uncoupling protein 2 (UCP2) is a proton transporter located in the inner mitochondrial membrane, and inhibits the formation of adenosine triphosphate and reacti...     

Synthesis of True Color Images from the Fengyun Advanced Geostationary Radiation Imager

The production of true color images requires observational data in the red,green,and blue(RGB)bands.The Ad-vanced Geostationary Radiation Imager(AGRI)onboard Ch...