中天山前寒武纪基底中新发现铁铜矿床

池西铁铜矿床是近年来新发现的赋存在中天山前寒武纪基底卡瓦布拉克群内的块状硫化物型矿床,具上铁下铜的分带性,在成因上可能与海相火山作用有关。已发现的2个矿体呈层状、透镜状产出,产状与围岩地层一致。该矿床可能是中天山地区卡瓦布拉克群内首次发现的块状硫化物型矿床,对今后在中天山乃至东天山地区寻找与海相火山作用有关的块状硫化物型矿床(尤其是铁铜共生矿床)具有重要的参考意义。     

Low-angle reflectivity modeling of land clutter

In this letter, a practical mean reflectivity model of radar land clutter (LC) for the complex system design of ground-based radars involved in low-angle targets on some typical terrains is studied using the inductive reasoning method. The functional relationships between the radar parameters and radar surface clutter backscattering are analyzed. Following the recent research work in the area of reflectivity modeling of LC in the literature, the least squares method is employed to estimate the model parameters. The model is validated using reliable practical data and shown to outperform other models in accuracy.     

Strong earthquake activity all over the world and strong-moderate earthquake activity within and near China （August, 2005-September, 2005）

All the data in this catalog are chosen from the ＂Preliminary Seismological Report of Chinese Seismic Stations＂ （Its abbreviation is ＂Monthly Report＂）. The catalog includes the events of M≥4.7 in and near China and M≥6 all over the world. The ＂Monthly Report＂ is monthly compiled by the Ninth Section of Institute of Geophysics, China EarthQuake Administration.     

关于我国地震预报几点思考的再思考

在我国地震预报的经验性基础上,引入发生地震机理。只要地震、地质、地球物理、力学等专家齐心共同努力,搞清地壳、天气、天体等的一些物理化学参数后,完全可以实现科学数字地震预报。     

灾害天气国家重点实验室成功举办数值预报系统理论高级讲座

为了使数值预报中心的研究人员和研究生能够了解数值预报的历史、发展以及现今研究的最前沿，灾害天气国家重点实验室数值预报研究部2006年底举行了“数值预报理论基础”系列讲座。讲座每星期两次，邀请了我国在数值模式方面做出突出成绩和贡献的老专家，如中科院大气物理所的纪立人、陈嘉滨先生，从数值预报的基础公式和数值解法，一直到国内外的最新研究成果进行了完整的介绍。     

应用ObjectARX开发土钉支护CAD系统

阐述基于数据库的土钉支护的设计过程。介绍ObjectARX基础知识,并将其应用于土钉支护CAD系统中,成功地对AutoCAD底层数据库进行操作,实现了符合实际工程习惯的土钉支护施工图的绘制。在破坏面的自动搜索上,采取黄金分割法与一维Brent法相结合的方法,很好地实现了自动搜索功能。这一方法不但很好地满足了计算速度的要求,而且也实现了考虑施工阶段边坡分析的目标。     

用BP神经网络预测土抗剪强度指标c、φ

提出了应用BP神经网络来预测土抗剪强度指标c、φ。结合工程实例,详细介绍了该方法的建模过程,结果表明预测结果和实测结果很接近,神经网络在土性参数方面应用前景很广阔。     

变异函数在异常空间插值中的应用

针对数据空间架构中异常点对地质数据解译过程的干扰，以协方差数学理论为基础，提出界定空间数据分布方法-变异函数。着重阐述变异函数的求取过程，对新疆贝克滩水系沉积物化探数据处理，预测误差均值为0．1032、平均预测标准差为21．12、标准均方根预测误差为0．9841。预测值与样品实测值误差较小，界定的空间数据分布与实际矿床（点）分布吻合较好。     

A Comparison between a Modified Counter Propagation Network and an Extended Self-Organizing Map in Remotely Sensed Data Classification

A modified counter propagation network model and an extended self-organizing map model have the same three-layer network architecture while employing slightly different learning rules. Their network architecture comprises an input layer, a Kohonen layer and an output layer. The neurons between two neighboring layers are fully connected and the neighboring neurons within the Kohonen layer also have neighborhood connections. The modified counter propagation network model employs the Kohonen algorithm to train the Kohonen layer while using the Widrow–Hoff rule to train the output layer. However, the extended self-organizing map model applies a modified Kohonen’s learning rule to train both the Kohonen layer and the output layer. This paper compares the performances of these two models in supervised classification of remotely sensed data. The training results show that compared to the extended self-organizing map model, the modified counter propagation model has faster learning speed but larger output errors. The classification results indicate that the extended self-organizing map model has a faster classification speed and a much higher classification precision than the modified counter propagation model.     

Application of Refactoring and Design Pattern in Land Information System Development

The unceasing change problem of land information systems can be resolved through the refactoring and design pattern. To promote the implementation of design pattern and refactoring methods in developin...