排序方式： 共有84条查询结果，搜索用时 31 毫秒
61.
城市地下空间开发利用地质环境适宜性评价涉及多方面的复杂不确定因素。以江苏宜兴为例,将影响城市地下空间开发利用的因素划分为区域稳定性、地形地貌、水文地质条件、不良土体、地质灾害等,运用层次分析法确定各指标的权重,将各个指标数值化,结合灰色关联度分析法,根据灰色数学理论计算出评价母序列与各评价序列之间的关联度,最终确定研究区地下空间开发利用地质环境适宜性等级。结果表明,宜兴约有55%面积的地下空间具备良好的开发前景,约40%面积的地下空间开发前景一般,仅有5%面积的地下空间开发利用适宜性差。研究成果可为宜兴市地下空间开发的规划、设计、施工等提供参考。 相似文献
62.
关联向量机在高光谱影像分类中的应用 总被引：1，自引：0，他引：1
将关联向量机应用于高光谱影像分类, 实现高维空间中训练样本不足时分类器的精确建模。从稀疏贝叶
斯理论出发, 分析关联向量机原理, 探讨一对多、一对一和两种直接的多分类方法。实验环节比较了各种多分类方
法, 并从精度、稀疏性两方面将关联向量机与支持向量机等经典算法比较。实验结果表明, 两种直接的多分类方法
内存占用大、效率低; 一对多精度最高, 但效率较低; 一对一计算效率最高, 精度与一对多近似。关联向量机精度
不如支持向量机, 但解更稀疏, 测试样本较多时实时性好, 适合处理大场景高光谱影像的分类问题。 相似文献
63.
为了建立更好的岩体质量分级系统,改进传统岩体质量分级方法以及其它数学评价方法,结合红岩水库通航隧洞现场工程地质条件,建立了可拓学理论岩体质量分级评价的物元模型,并采用灰色关联度方法改进可拓学理论中求取各评价指标权重主客观因素考虑不充分的缺点.研究结果表明,采用灰色关联度法充分考虑了岩体质量评价的主客观因素,计算出的各指... 相似文献
64.
为了借助容易获取的地震相关因素间接预测地震震级,提出基于相关向量机（Relevance Vector Machine,RVM）方法的地震震级预测模型。通过样本学习建立地震震级与地震累积频度、累积释放能量、平均震级、b值、η值和相关区震级等6个主要影响因素之间的非线性映射关系,利用已知影响因素预测地震震级。结果表明:RVM模型预测结果均优于BP神经网络及SOM-BP神经网络预测结果;通过敏感因子分析比较各因素的敏感程度,b值和η值最为突出,在震级研究中应重点分析。综合分析,RVM模型具有精度高和离散性小等优点,对地震震级预测有较好的推广价值。 相似文献
65.
基于改进局部均值分解（LMD）及加权核函数相关向量机（RVM）算法，构建多尺度变形预测新方法。利用LMD将变形数据分解成多个具有物理意义的变形分量，并基于遗传算法优化的RVM对每个变形分量分别进行预测。将各变形分量预测结果进行叠加，最终建立多尺度变形预测方法，并应用于大坝变形预测。实验结果表明，改进LMD-RVM方法的多个精度指标均优于BP神经网络方法、RVM方法和改进EMD-RVM方法，证实了新方法的有效性及可靠性。 相似文献
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A new computing method is proposed for reliable analysis. The limit state function is implicit and nonlinear in reliability analysis of slopes and is difficult to apply by traditional reliability methods, especially in large‐scale project applications. Relevance vector machines (RVMs) are capable of approximating the limit state function without the need for additional assumptions regarding the function form, as opposed to traditional polynomial response surfaces. RVMs were adapted to obtain the limit state function. We propose an RVM‐based response surface method combined with the first‐order reliability method for slope reliability analysis and describe its step‐by‐step implementation. The reliability index obtained from the proposed method shows excellent agreement with traditional response surface method results. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
67.
Drought hotspot identification requires continuous drought monitoring and spatial risk assessment. The present study analysed drought events in the agriculture‐dominated mid‐Mahanadi River Basin in Odisha, India, using crop water stress as a drought indicator. This drought index incorporated different factors that affect crop water deficit such as the cropping pattern, soil characteristics, and surface soil moisture. The drought monitoring framework utilized a relevance vector machine model‐based classification that provided the uncertainty associated with drought categorization. Using the proposed framework, drought hotspots are identified in the study region and compared with indices based on precipitation and soil moisture. Further, a bivariate copula is employed to model the agricultural drought characteristics and develop the drought severity–duration–frequency (S–D–F) relationships. The drought hotspot maps and S–D–F curves are developed for different locations in the region. These provided useful information on the site‐specific drought patterns and the characteristics of the devastating droughts of 2002 and 2012, characterized by an average drought duration of 7 months at several locations. The site‐specific risk of short‐ and long‐term agricultural droughts are then investigated using the conditional copula. The results suggest that the conditional return periods and the S–D–F curves are valuable tools to assess the spatial variability of drought risk in the region. 相似文献
68.
针对语义鸿沟问题,将基于语义特征挖掘模型与支持向量机相关反馈方法相结合,建立了基于支持向量机相关反馈的人机交互遥感影像语义检索系统。实验结果表明,该方法利用高层语义特征及人机交互反馈信息缩小了语义鸿沟,提高了影像检索的精度。 相似文献
69.
Building more realistic reservoir optimization models using data mining - A case study of Shelbyville Reservoir 总被引：1，自引：0，他引：1
Mohamad I. HejaziXiming Cai 《Advances in water resources》2011,34(6):701-717
In this paper, we promote a novel approach to develop reservoir operation routines by learning from historical hydrologic information and reservoir operations. The proposed framework involves a knowledge discovery step to learn the real drivers of reservoir decision making and to subsequently build a more realistic (enhanced) model formulation using stochastic dynamic programming (SDP). The enhanced SDP model is compared to two classic SDP formulations using Lake Shelbyville, a reservoir on the Kaskaskia River in Illinois, as a case study. From a data mining procedure with monthly data, the past month’s inflow (Qt−1), current month’s inflow (Qt), past month’s release (Rt−1), and past month’s Palmer drought severity index (PDSIt−1) are identified as important state variables in the enhanced SDP model for Shelbyville Reservoir. When compared to a weekly enhanced SDP model of the same case study, a different set of state variables and constraints are extracted. Thus different time scales for the model require different information. We demonstrate that adding additional state variables improves the solution by shifting the Pareto front as expected while using new constraints and the correct objective function can significantly reduce the difference between derived policies and historical practices. The study indicates that the monthly enhanced SDP model resembles historical records more closely and yet provides lower expected average annual costs than either of the two classic formulations (25.4% and 4.5% reductions, respectively). The weekly enhanced SDP model is compared to the monthly enhanced SDP, and it shows that acquiring the correct temporal scale is crucial to model reservoir operation for particular objectives. 相似文献
70.
古铜陵地区是长江中下游成矿中重要的多金属成矿区,有着独特的多位一体、"层".带"结合、多矿种、多种成因类型复合的成矿地质环境,产生了丰富的接触交代与层控式夕卡岩-热液充填交代的块状硫化物型的铜、金、银、硫等内生矿产,成为国内外地学研究的热点地区.本文从铊元素的地球化学研究探寻其作为金(铜)矿床的探途元素的可能,从本区一些主要矿床中过铊与金(铜)相关性的研究,得出铊与金(铜)密切正相关的结论,并进行了微量元素铊在找矿方面应用的一些初步探读者论坛,指出下一步找矿方向及预测靶区. 相似文献