PCA-BP神经网络在SO2浓度预报中的应用     

于文革  王体健  杨诚  孙莹 《气象》2008,34(6):97-101

将基于主成分分析(PCA)的BP神经网络预报方法引入大气污染预报,建立SO2浓度预报模型.结果表明:应用主成分分析对数据进行前处理,以原始预报因子的主成分作为BP神经网络的输入,降低了数据维数,消除了样本间存在的相关性,大大加快了BP神经网络的收敛速度.对模型进行预报验证,预报值与实际值之间的绝对误差为0.0098,预报值与实际值的相关系数达到0.885,得到较好的预报效果.并且比一般的BP神经网络模型具有较高的拟合和预报精度.  相似文献   

Ternary forecast of heavy snowfall in the Honam area,Korea     

Keon Tae SOHN  Jeong Hyeong LEE  Young Seuk CHO 《大气科学进展》2009,26(2):327-332

The objective of this study is to improve the statistical modeling for the ternary forecast of heavy snowfall in the Honam area in Korea. The ternary forecast of heavy snowfall consists of one of three values, 0 for less than 50 mm, 1 for an advisory (50–150 mm), and 2 for a warning (more than 150 mm). For our study, the observed daily snow amounts and the numerical model outputs for 45 synoptic factors at 17 stations in the Honam area during 5 years (2001 to 2005) are used as observations and potential pre...  相似文献   

利用TRMM卫星资料对人工增雨云系模式云微观场预报能力的检验   总被引：6，自引：0，他引：6  

马占山  刘奇俊  秦琰琰  康志明  延昊 《气象学报》2009,67(2):260-271

文中利用TRMM卫星测雨雷达探测反演的云水、雨水、云冰和降冰4种云参数产品及实况降水资料,对比检验该人工增雨云系业务模式对云微观场和地面降水场的预报能力.结果表明,人工增雨云系模式系统对降水的预报能力要略优于现行业务运行的GRAPES模式;人工增雨云系模式系统能较好地预报云系系统云物理微观量的垂直结构特征,模式预报的微观场与卫星监测吻合较好;在播撒窗区的水平分布上,模式预报的各水凝物分布形势和强中心位置与卫星监测一致,其大小也接近监测值;人工增雨云系模式能较好地预报云的微观场和天气形势场,可作为云系人工增雨条件决策的重要参考依据.  相似文献   

基于MATLAB的主成分RBF神经网络降水预报模型   总被引：13，自引：3，他引：10  

农吉夫  金龙 《热带气象学报》2008,24(6):713-717

以前期500 hPa高度场、海温场为预报因子,采用径向基函数(RBF)神经网络与主成分分析相结合的方法,建立了广西中部5月平均降水预报模型。在5年独立样本的预测检验中,预测的平均相对误差、均方误差及平均绝对误差分别为18.12%、50.52和34.23。对比分析RBF神经网络与BP(Back Propagation)神经网络的预测结果,表明RBF神经网络预测结果更准确、精度更高。  相似文献   

Artificial halo orbits for low-thrust propulsion spacecraft     

Shahid Baig  Colin R. McInnes 《Celestial Mechanics and Dynamical Astronomy》2009,104(4):321-335

We consider periodic halo orbits about artificial equilibrium points (AEP) near to the Lagrange points L ₁ and L ₂ in the circular restricted three body problem, where the third body is a low-thrust propulsion spacecraft in the Sun–Earth system. Although such halo orbits about artificial equilibrium points can be generated using a solar sail, there are points inside L ₁ and beyond L ₂ where a solar sail cannot be placed, so low-thrust, such as solar electric propulsion, is the only option to generate artificial halo orbits around points inaccessible to a solar sail. Analytical and numerical halo orbits for such low-thrust propulsion systems are obtained by using the Lindstedt Poincaré and differential corrector method respectively. Both the period and minimum amplitude of halo orbits about artificial equilibrium points inside L ₁ decreases with an increase in low-thrust acceleration. The halo orbits about artificial equilibrium points beyond L ₂ in contrast show an increase in period with an increase in low-thrust acceleration. However, the minimum amplitude first increases and then decreases after the thrust acceleration exceeds 0.415 mm/s². Using a continuation method, we also find stable artificial halo orbits which can be sustained for long integration times and require a reasonably small low-thrust acceleration 0.0593 mm/s².  相似文献   

GIS中河网空间数据模型     

艾自兴  毋河海  谌虎  梁永贤 《测绘与空间地理信息》2005,28(6):10-12

河网通常是由多条河流组成的,河网的空间形态结构特征由各条河流的几何特征和河流之间的相互关系决定,为了完整表示河网的空间形态结构特征,本文提出了基于河网空间形态结构特征的河网空间数据模型,并阐述了该模型的建立、维护等方法。  相似文献   

Effects of strong ground motion on the susceptibility of gully type debris flows   总被引：5，自引：0，他引：5  

Chia-Nan Liu  Jia-Jyun Dong  Yih-Ferng Peng  Hsiao-Fung Huang 《Engineering Geology》2009,104(3-4):241-253

Typhoon Herb in 1996 caused widespread debris flows in central Taiwan. The 7.3 Chi-Chi earthquake on September 21, 1999, which also took place in central Taiwan, induced many landslides in the region. These landslides turned into debris flows when Typhoon Toraji struck Taiwan in 2001. This research selects three regions which suffered a ground motion class of 5, 6, and 7 on the Richter scale during the Chi-Chi earthquake as study areas. Air photos from 1997 and 2001 of these regions are used to map the gully-type debris flows that took place after Typhoons Herb and Toraji, respectively. The gullies adjacent to the debris flow, but without a trace of debris flows, are also mapped as the non-debris flow data. The topography, hydrogeology, and rainfall factors – where debris flow occurred and in which there was no occurrence of debris flows in these gullies were retrieved from DTM, geological maps, and iso-countour maps, and of rainfall through GIS processing. These characteristic are introduced into a probabilistic neural network to build a predicting model for the probability of the occurrence of debris flows. Three series of cross analyses are conducted to compare the probability of the occurrence of debris flows of the same dataset predicted by different prediction models. The results reveal that the susceptibility of debris flows was elevated after the Chi-Chi earthquake struck. The upsurge of susceptibility was more obvious for the regions that received a higher class of ground motion.  相似文献   

Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation     

Hung-Ming Lin  Shun-Kung Chang  Jian-Hong Wu  C. Hsein Juang   《Engineering Geology》2009,104(3-4):280-289

This paper is aimed at creating an empirical model for assessing failure potential of highway slopes, with a special attention to the failure characteristics of the highway slopes in the Alishan, Taiwan area prior to, and post, the 1999 Chi-Chi, Taiwan earthquake. The basis of the study is a large database of 955 slope records from four highways in the Alishan area. Artificial neural network (ANN) is utilized to “learn” from this database. The developed ANN model is then used to study the effect of the Chi-Chi earthquake on the slope failure characteristics in the Alishan area. Significant changes in the degrees of influence of several factors (variables) are found and possible reasons for such changes are discussed. The novelty of this paper lies in the fact that the developed ANN models are used as a tool to investigate the slope failure characteristics before and after the Chi-Chi earthquake.  相似文献   

网络分析方法在GPS控制网优化设计中的应用     

贺同江  杨国东 《测绘与空间地理信息》2005,28(6):85-87

讨论了网络分析方法中的深度优先遍历算法在GPS控制网优化设计中资源配置问题中的应用,并在该算法的基础上,进行了一定的改进,提出了并行项目的解决建议,为网络的资源配置提出了一种新的解决方法。  相似文献   

General seismic wave and phase detection software driven by deep learning     

《地震研究进展（英文）》2021,1(3):100029

We developed an automatic seismic wave and phase detection software based on PhaseNet, an efficient and highly generalized deep learning neural network for P- and S-wave phase picking. The software organically combines multiple modules including application terminal interface, docker container, data visualization, SSH protocol data transmission and other auxiliary modules. Characterized by a series of technologically powerful functions, the software is highly convenient for all users. To obtain the P- and S-wave picks, one only needs to prepare three-component seismic data as input and customize some parameters in the interface. In particular, the software can automatically identify complex waveforms (i.e. continuous or truncated waves) and support multiple types of input data such as SAC, MSEED, NumPy array, etc. A test on the dataset of the Wenchuan aftershocks shows the generalization ability and detection accuracy of the software. The software is expected to increase the efficiency and subjectivity in the manual processing of large amounts of seismic data, thereby providing convenience to regional network monitoring staffs and researchers in the study of Earth's interior.  相似文献