人工神经网络在天津市区地面沉降预测中的应用   总被引：8，自引：1，他引：8  

李涛  潘云  娄华君  李波  王宏  邹立芝 《地质通报》2005,24(7):677-681

在分析天津市区地面沉降特点的基础上，结合人工神经网络原理，选择1961-1980年的天津市区降水量、地下水开采量、前年沉降量、固结度作为训练样本的输入量，以这20年的地面沉降量作为输出量，用贝叶斯正则化算法训练BP网络，得到沉降的仿真模型。并把1981-1993年的资料用来进行预测检验，结果表明这是一种比较理想的地面沉降预测方法。最后在不同的降水量保证率下，预测了到2010年天津市区地面沉降的情况。  相似文献   

反扩散格式在二维锋生数值模拟中的应用     

Yang Hongwei  Wang Bin  Ji Zhongzhen 《大气科学进展》2002,19(5):863-869

把无粘流中能成功捕捉接触间断的反扩散差分格式，用在了准地转二维理想锋生的数值模拟中，并将计算结果与Cullen的计算结果和半地转方程的精确解进行了比较。用反扩散格式模拟的锋面较Cullen的结果更加显，而且更接近半地转方程的精确解。  相似文献   

吐鲁番山区人工增水作业效果的统计分析     

施文全  王红岩  黄显金  张山青  郑乐娟 《沙漠与绿洲气象(新疆气象)》2002,25(6):28-30

应用统计检验和回归分析两种数理统计方法，对吐鲁番1997－2000年山区人工增水作业效果进行了分析。结果得出作业影响区内作业年份5－6月平均流量显著增加。  相似文献   

ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS   总被引：1，自引：0，他引：1       下载免费PDF全文

蒋国荣  张韧  沙文钰  阎俊岳  姚华栋 《Acta Meteorologica Sinica》2002,(1)

In the context of tower measured radiation datasets.following the correction principle meetinga diagnostic equation in data quality control and in terms of a technique for model construction ondata and ANN(artificial neural network)retrieval for BP correction of radiation measurementswith rough errors available,a BP model is presented.Evidence suggests that the developed modelworks well and is superior to a convenient multivariate linear regression model,indicating its wideapplications.  相似文献   

Structural damage detection using the optimal weights of the approximating artificial neural networks     

Shih‐Lin Hung  C. Y. Kao 《地震工程与结构动力学》2002,31(2):217-234

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.  相似文献   

Modelling evaporation using an artificial neural network algorithm   总被引：1，自引：0，他引：1  

K. P. Sudheer  A. K. Gosain  D. Mohana Rangan  S. M. Saheb 《水文研究》2002,16(16):3189-3202

This paper investigates the prediction of Class A pan evaporation using the artificial neural network (ANN) technique. The ANN back propagation algorithm has been evaluated for its applicability for predicting evaporation from minimum climatic data. Four combinations of input data were considered and the resulting values of evaporation were analysed and compared with those of existing models. The results from this study suggest that the neural computing technique could be employed successfully in modelling the evaporation process from the available climatic data set. However, an analysis of the residuals from the ANN models developed revealed that the models showed significant error in predictions during the validation, implying loss of generalization properties of ANN models unless trained carefully. The study indicated that evaporation values could be reasonably estimated using temperature data only through the ANN technique. This would be of much use in instances where data availability is limited. Copyright © 2002 John Wiley & Sons, Ltd.  相似文献   

固溶体矿物的性质对计算河南西峡红柱石矿形成条件的影响     

李心清  殷辉安  闻辂 《地球化学》2002,31(4):375-382

自然界的大多数造岩矿的是由两种或多种组分混合而成的固溶体。因此，在矿物，岩石和矿床等地质体的平衡热力学研究中不可避免地要涉及固溶体矿物热力学地为的问题。河南省西峡县杨乃沟红柱石矿泥质片岩中仅出现红柱石而没有蓝晶石和夕线石，红柱石矿物包裹体测温结果为420－600℃。通过矿物共生平衡p-t曲线所计算出的片岩形成温度和压力条件也应位于上述岩石学和岩相学等特征所限定的范围内。以此为基础，通过构筑矿物共生p-t平衡曲线的方法，对片岩中若干固溶体矿物理想性／非理想性问题进行了研究。其中斜长石必须以非理想固溶体处理，而石榴子石，黑云母和白云母视作理想固溶体的计算结果同片岩的岩石学和岩相学等特征相一致。  相似文献   

县市级政府决策信息系统的开发应用:专业GIS 软件SK set V4 .0功能介绍———以贵州沿河土家族自治县资源遥感信息系统为例   总被引：1，自引：0，他引：1  

周立新  莫源富  张家仁  杨炜 《中国岩溶》2002,21(2):145-151

SK setV4.0是中国地质科学院岩溶地质研究所GIS中心2001年4月开发成功的、具有自主板权的专业GIS平台软件。它集成了现今较为先进的组件、控件重用，面向对象编程等技术，并以美国Inprise公司的BorladnC^ Builder编译软件为开发平台，提供了全中文菜单环境，不仅具有基本信息和多图层查询、相关分析动态监测、多因子分析、图斑编辑、自动演示、系统维护等功能，而且还具有快速响应的工具条、友好的对话框和较强的纠错机制，很适合缺乏专业GIS人才的县市级政府管理部门使用。文中还以贵州省沿河县资源遥感信息系统为例，对SK setV4.0的功能和使用方法进行了具体的介绍。  相似文献   

Simulation of artificial random field considering the temporal-spatial variation     

倪永军  朱晞 《地震学报(英文版)》2002,15(4):425-430

Introduction For the seismic design of special structures such as nuclear power station, marine platform, long-span bridge and dam, generally the time-history response analysis of the structure under seismic excitation is imperative, which was coded in most seismic design codes. The earthquake records suitable for the seismic situation and site condition are necessary to be used as the seismic input in the dynamic analysis of structures. As a result of the limited observational condition of st…  相似文献   

Application of genetic BP network to discriminating earthquakes and explosions     

边银菊 《地震学报(英文版)》2002,15(5):540-549

Introduction Artificial Neural Network (ANN) is an important branch of artificial intelligence. It is proposed on the foundation of the study on modern neural science, is a man-made network that can implement some functions based on the mans comprehensive understanding for cerebral neural network (HAN, WANG, 1997). ANN is a mathematical model of simplified human brain neural network and is used to simulate the structures and functions of human brain neural network. ANN is a complex netw…  相似文献