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71.
ABSTRACT

The predictive capability of a new artificial intelligence method, random subspace (RS), for the prediction of suspended sediment load in rivers was compared with commonly used methods: random forest (RF) and two support vector machine (SVM) models using a radial basis function kernel (SVM-RBF) and a normalized polynomial kernel (SVM-NPK). Using river discharge, rainfall and river stage data from the Haraz River, Iran, the results revealed: (a) the RS model provided a superior predictive accuracy (NSE = 0.83) to SVM-RBF (NSE = 0.80), SVM-NPK (NSE = 0.78) and RF (NSE = 0.68), corresponding to very good, good, satisfactory and unsatisfactory accuracies in load prediction; (b) the RBF kernel outperformed the NPK kernel; (c) the predictive capability was most sensitive to gamma and epsilon in SVM models, maximum depth of a tree and the number of features in RF models, classifier type, number of trees and subspace size in RS models; and (d) suspended sediment loads were most closely correlated with river discharge (PCC = 0.76). Overall, the results show that RS models have great potential in data poor watersheds, such as that studied here, to produce strong predictions of suspended load based on monthly records of river discharge, rainfall depth and river stage alone.  相似文献   
72.
ABSTRACT

This study aimed to evaluate the potential of the recently introduced Prophet model for estimating reference evapotranspiration (ETo). A comparative study was conducted for benchmarking the model results with support vector regression (SVR) and temperature-based empirical models (Thornthwaite and Hargreaves) in southern Japan. The performance of the Prophet, SVR and temperature-based empirical models was evaluated by Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R2). The results indicate that temperature-based Prophet and SVR models have greater accuracy than the empirical models. The Prophet model with sole input of relative humidity, sunshine hours or windspeed showed acceptable accuracy (NSE > 0.80; R2 > 0.80), while SVR models with similar inputs showed greater errors. Accuracy improved with increasing number of input parameters, giving excellent performance (NSE > 0.95; R2 > 0.95) with all input parameters. Hence, the Prophet model is a new promising approach for modelling ETo with limited input variables.  相似文献   
73.
ABSTRACT

Climate change is today one of the biggest issues for farmers. The increasing number of natural disasters and change of seasonal trends is making insurance companies more interested in new technologies that can somehow support them in quantifying and mapping risks. Remotely sensed data, with special focus on free ones, can certainly provide the most of information they need, making possible to better calibrate insurance fees in space and time. In this work, a prototype of service based on free remotely sensed data is proposed with the aim of supporting insurance companies’ strategies. The service is thought to calibrate annual insurance rates, longing for their reduction at such level that new customers could be attracted. The study moves from the entire Piemonte region (NW Italy), to specifically focus onto the Cuneo province (Southern Piemonte), which is mainly devoted to agriculture. MODIS MOD13Q1-v6 and Sentinel-2 L2A image time series were jointly used. NDVI maps from MODIS data were useful to describe the midterm phenological trends of main crops at regional level in the period 2000–2018; differently, Sentinel-2 data permitted to map local crop differences at field level in 2016 and 2017 years. With reference to MODIS data, the average phenological behavior of main crop classes in the area, obtained from the CORINE Land Cover map Level 3, was considered using a time series decomposition approach. Trend analyses showed that the most of the crop classes alternated three phases (about 7 years) suggesting that, presently, this is probably the time horizon to be considered to tune mid-term algorithms for risk estimates in the agricultural context. Crop classes trends were consequently split into three phases and each of them modeled by a first-order polynomial function used to update correspondent insurance risk rate. Sentinel-2 data were used to map phenological anomalies at field level for the 2016 and 2017 growing seasons; shifts from class average behavior were considered to locally and temporarily tune insurance premium around its average trend as described at the previous step. Synthesizing, one can say that this approach, integrating MODIS and Sentnel-2 data, makes possible to locally and temporarily calibrate premiums of indexed insurance policies by describing the average trends of crop performance (NDVI) at regional level by MODIS data and refining it at field and specific crop level by Sentinel-2 data.  相似文献   
74.
基于对高应力区破裂岩体回采巷道支护 10多年的经验和教训 ,本文首次提出了相对于主次承载区协调作用关系的关键支护技术 ,即一次强化支护技术。该支护技术不仅强调了对于高应力区破裂岩巷道支护时间的及时性 ,支护强度一次到位 ,更重要的是区别于先让后抗、二次支护的指导思想 ;同时 ,一次强化支护技术还详细明确了支护类型、支护结构以及施工工艺。该支护技术在小官庄铁矿高应力区的应用成功 ,表明该支护关键技术是正确的。  相似文献   
75.
基于支撑向量机概率输出的高光谱影像混合像元分解   总被引:5,自引:0,他引:5  
提出利用支撑向量机(SVM)后验概率来分解高光谱影像的混合像元,通过支撑向量机的输出值转化为两两配对的后验概率,再由两两配对的概率值求得多类后验概率,并以像元所属类别的后验概率作为地物的组分信息。实验结果表明,该方法能较好地估计出混合像元的组分比。  相似文献   
76.
从气象角度介绍了利用SVM方法的预报原理,对西安短期气候预测做了实验,并分析预报结果,得出SVM方法在天气预报领域有一定的使用空间的结论。  相似文献   
77.
加权支持向量回归机及其在水质预测中的应用   总被引:1,自引:0,他引:1  
支持向量机是一种基于结构风险最小化原理的学习技术,也是一种新的具有很好泛化性能的回归方法。本文对用于回归估计的标准支持向量机加以改进,提出了一种新的用于回归估计的支持向量机学习算法,针对各样本重要性的差异,给各个样本的惩罚系数和误差要求赋予不同权重,并利用加权支持向量回归机的理论及其算法构建水质预测模型。实验结果表明,该方法对水质具有较好的预测效果。  相似文献   
78.
将传统的支撑锚固与新型SNS边坡防护技术应用于危岩的治理工程,不但解决了大块危岩治理问题,还解决了松动而无法清除危岩的崩落、掉块问题,且对自然景观破坏小,对旅游公路运营影响小,解决了场地狭窄与工程安全的矛盾,施工方便迅速,工程安全可靠。  相似文献   
79.
土地覆盖制图:基于最优化遥感数据的支撑向量机分类   总被引:1,自引:0,他引:1  
遥感数据具有在不同空间、光谱和时间尺度上获取地表测量信息的能力,使其成为获取土地覆盖信息的一个主要数据源。影像分类即把卫星影像上的相关像元划分给某类已知的土地覆盖类型的过程。支撑向量机(SVMs)是一种土地覆盖分类的新技术。三种常用的SVMs是:基于线性和多项式的SVM以及具有高斯核函数的SVM分类器,分类能否成功地应用有赖于其各自选择的最佳参数。但是海量的遥感数据使得这些参数的确定速度十分缓慢。本文研究了一种新的基于最优化遥感数据压缩技术的SVM分类方法。研究显示用于获取SVM参数的数据量能够在不影响土地覆盖的分类精度的前提下进行压缩。数据压缩成功的应用于多项式和高斯核函数的SVM分类,而线性SVM的分类精度却非常低。  相似文献   
80.
基坑支护结构施工技术要点与工程实例分析(下)   总被引:1,自引:0,他引:1       下载免费PDF全文
4地下连续墙施工技术方法4.1要点(1)导墙的修筑精度(宽度、平直度、垂直度和标高等)和强度对成槽施工质量有直接影响,高质量的导墙是高质量槽段的基础,常用的导墙形式如图2所示。图2导墙断面形式示意图(a)板型;(b)L型;(c)倒L型;(d)槽型导墙...  相似文献   
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