模块化模糊神经网络的数值预报产品释用预报研究   总被引：13，自引：0，他引：13       下载免费PDF全文

金龙  林熙  金健  李菁 《气象学报》2003,61(1):78-84

综合应用预报量自身时间序列的拓展,数值预报产品和模块化模糊神经网络方法,进行了一种新的数值预报产品释用预报研究。将这种新方法与常规的数值预报产品完全预报(PP)方法进行了对比试验。结果表明,这种模块化模糊神经网络数值预报产品释用预报方法比PP预报方法的预报精度显著提高。并且,通过对预报模型“过拟合”现象的研究发现,这种模块化模糊神经网络的数值预报产品释用预报模型具有很好的泛化性能。  相似文献   

震级—频度关系的非线性特征   总被引：1，自引：0，他引：1  

陈时军  陶九庆 《地震研究》1997,20(3):303-310

在假设地震断裂系统具有分形特征前提下，推导出非线性震级－频度关系公式：ＬｏｇＮ＝ａ＋ｂ△Ｍ－Ｃ／△Ｍ，作为示例，用此公式对一些实际观测资料进行了最小二乘拟合，效果明显好于线性公式。  相似文献   

用模糊综合评判法评价昌宁盆地地下水水质     

邹立芝  魏余广 《吉林大学学报(地球科学版)》1997,(3)

利用模糊综合评判法对昌宁盆地地下水水质进行了评价，并指出为确保评价的精度，在进行模糊评判中，建议四种Ａ·Ｒ复合运算方法联合应用，综合分析  相似文献   

一种基于数据融合的地球物理数据联合反演方法   总被引：12，自引：0，他引：12       下载免费PDF全文

敬荣中  鲍光淑  林剑  陈绍裘 《地球物理学报》2004,47(1):143-150

从地球物理反演的基本概念出发，认为地球物理反演是 对实测数据的地球物理属性的理解或解释，多方法的地球物理数据联合反演是一种多传感器 的数据融合. 本文分析了地球物理数据的模糊特性，采用基于语义的模糊化方法，使不同物 理意义和尺度的特征数据及测区的地质和地球物理背景成为一体，结合地球物理专家解释的 方法，利用基于模糊逻辑系统的神经网络实现了融合. 该方法充分利用了各种地球物理探测 数据的全部信息，避免了线性反演的复杂计算；其数据融合的观点,为解决地球物理联合反 演问题提供了新的思路. 通过模拟实验和应用实例验证，该方法是有效的.  相似文献   

赣南中侏罗世流纹岩地球化学及成因研究：上地壳成因的的微量元素和Pb-Nd-Sr同位素地球化学制约   总被引：4，自引：1，他引：4  

章邦桐凌洪飞  孔兴功 《岩石学报》2004,20(3):511-520

江西南部龙南-寻邬地区余田群菖蒲组的流纹岩形成于中侏罗世(164．8．1Ma～174．9Ma)，为双峰式火山岩组合的酸性端元，属弱过铝质(ACNK平均为1．04)钙碱性系列(σ平均为1．90)。稀土元素含量高(平均为278．9μg/g)，轻稀土富集(IMH平均为7．94)，Eu亏损中等(δEu平均为0．41)。微量元素以富集Rb，Ba，Th，U，Zr，Y，Pb，而亏损Sr，Nb为特征。Pb，Nd，Sr同位素组成为：(^206Pb/^204Pb)t=17．89～18．58，(^207Pb/^204Pb)t=15．58～15．70，(^208Pb/^204Pb)t=37．94～38．82；εNd(t)=-7．44～-11．9；ISr=0．71126～0．71228。对赣南流纹岩微量元素采用蛛网图和模糊聚类分析方法进行对比研究的结果及Pb-Nd-Sr同位素相关特征为其上地壳成因提供了地球化学佐证。赣南流纹岩是由进入上地壳内高位岩浆房的石英拉斑玄武岩浆的底侵作用直接使上地壳部分熔融形成的产物。  相似文献   

Fuzzy set approaches to classification of rock masses   总被引：6，自引：0，他引：6  

A. Aydin   《Engineering Geology》2004,74(3-4):227-245

Rock mass classification is analogous to multi-feature pattern recognition problem. The objective is to assign a rock mass to one of the pre-defined classes using a given set of criteria. This process involves a number of subjective uncertainties stemming from: (a) qualitative (linguistic) criteria; (b) sharp class boundaries; (c) fixed rating (or weight) scales; and (d) variable input reliability. Fuzzy set theory enables a soft approach to account for these uncertainties by allowing the expert to participate in this process in several ways. Hence, this study was designed to investigate the earlier fuzzy rock mass classification attempts and to devise improved methodologies to utilize the theory more accurately and efficiently. As in the earlier studies, the Rock Mass Rating (RMR) system was adopted as a reference conventional classification system because of its simple linear aggregation.

The proposed classification approach is based on the concept of partial fuzzy sets representing the variable importance or recognition power of each criterion in the universal domain of rock mass quality. The method enables one to evaluate rock mass quality using any set of criteria, and it is easy to implement. To reduce uncertainties due to project- and lithology-dependent variations, partial membership functions were formulated considering shallow (<200 m) tunneling in granitic rock masses. This facilitated a detailed expression of the variations in the classification power of each criterion along the corresponding universal domains. The binary relationship tables generated using these functions were processed not to derive a single class but rather to plot criterion contribution trends (stacked area graphs) and belief surface contours, which proved to be very satisfactory in difficult decision situations. Four input scenarios were selected to demonstrate the efficiency of the proposed approach in different situations and with reference to the earlier approaches.  相似文献   

Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0     

Wang Wei 《中国地震研究》2005,19(1):43-53

INTRODUCTIONKnowledgerepresentationandknowledgeacquisitionarekeyissuesinbuildinganexpertsystem .Theyarecloselyrelatedtothedomainproblem solvinglevelandcompetenceoftheexpertsystem .Intheknowledgeacquisitionprocess,thedomainexpertwillfirstofferandorganizepr…  相似文献   

Groundwater vulnerability mapping: A GIS and fuzzy rule based integrated tool   总被引：8，自引：0，他引：8  

B. Dixon   《Applied geography (Sevenoaks, England)》2005,25(4):327-347

Contamination of groundwater has become a major concern in recent years. Since testing of water quality of all domestic and irrigation wells within large watersheds is not economically feasible, one frequently used monitoring strategy is to develop contamination potential maps of groundwater, and then prioritize those wells located in the potentially highly contaminated areas for testing of contaminants. However, generation of contamination potential maps based on groundwater sensitivity and vulnerability is not an easy task due inherent uncertainty. Therefore, the overall goal of this research is to improve the methodology for the generation of contamination potential maps by using detailed landuse/pesticide and soil structure information in conjunction with selected parameters from the DRASTIC model. The specific objectives of this study are (i) to incorporate GIS, GPS, remote sensing and the fuzzy rule-based model to generate groundwater sensitivity maps, and (ii) compare the results of our new methodologies with the modified DRASTIC Index (DI) and field water quality data. In this study, three different models were developed (viz. DI_fuzz, VI_fuzz and VI_{fuzz_ped}) and were compared to the DI. Once the preliminary fuzzy logic-based (DI_fuzz) was generated using selected parameters from DI, the methodology was further refined through VI_fuzz and VI_{fuzz_ped} models that incorporated landuse/pesticide application and soil structure information, respectively. This study was conducted in Woodruff County of the Mississippi Delta region of Arkansas. Water quality data for 55 wells were used to evaluate the contamination potential maps. The sensitivity map generated by VI_{fuzz_ped} with soil structure showed significantly better coincidence results when compared with the field data.  相似文献   

运用ENVI实现SPOT-5卫星影像的RVI提取     

尹芬  丁美青 《测绘与空间地理信息》2016,(1)

运用ENVI软件处理长沙地区的SPOT-5影像,将全色影像和多波段影像进行融合,分析融合后的影像,再选择感兴趣区域进行影像裁剪;采用ENVI的波段运算(Band3/Band2)提取该地区比值植被指数并进行分析。结果表明:比值植被指数对植被覆盖率较高的区域有非常高的敏感度;在植被覆盖率小于50%的时候,其敏感度明显降低,在绿色植被覆盖区域的比值植被指数远大于1,在裸露地表、建筑物、水体等没有植被覆盖区域的比值植被指数则在1附近,而比值植被指数大于2的则出现在高覆盖健康绿色植被上。  相似文献   

宁波市地下空间开发利用地质环境适宜性评价   总被引：1，自引：0，他引：1  

赵团芝  侯艳声  胡新锋 《城市地质》2016,(4):88-93

随着城市化建设快速推进,地下空间资源开发是解决城市土地资源紧张的合理途径,而地质环境适宜性评价对地下空间的开发利用具有至关重要的作用。本文分析了城市地下空间开发利用地质环境适宜性评价的影响因素,运用层次分析法确定岩土体特征、水文地质条件、环境地质问题、技术经济等指标因素的权重,建立模糊综合评价模型,定量评价宁波东部新城浅层(-15~0m)和中层(-30~-15m)的地下空间开发利用地质环境适宜程度。评价结果显示,东部新城地下空间开发地质环境适宜性等级分为Ⅱ级较适宜和Ⅲ级较不适宜,并根据不同的适宜等级提出了地下空间开发利用方式,为宁波东部新城的地下空间开发利用提供依据。  相似文献