一种基于马尔可夫随机场的影像纹理分类方法     

黄桂兰  郑肇葆 《武汉大学学报(信息科学版)》1996,(3)

针对纹理影像先估计出其马尔可夫随机场参数，后运用多元统计分析中模糊聚类分析的数学方法进行定量分类，从而为解决划分上的不确定性现象找出描述方法，获得客观的分类结果  相似文献   

The Reliability of Using the Iterative Proportional Fitting Procedure*     

David W. S. Wong 《The Professional geographer》1992,44(3):340-348

This paper demonstrates the utility of the iterative proportional fitting procedure (IPF) in generating disaggregated spatial data from aggregated data and evaluates the performance of the procedure. Estimates of individual level data created by IPF using data of equal-interval categories are reliable, but the performance of the estimation can be improved by increasing sample size. The improvement usually is enough to offset the increase in error created by other factors. If the two variables defining the cross-classification have a significant interaction effect and the number of categories in each variable is larger than two, then IPF is preferred over an independent model.  相似文献   

围岩参数Monte－Carlo有限元反分析   总被引：3，自引：1，他引：3  

朱永全  景诗庭  张清 《岩土力学》1995,(3)

提出了应用隧道施工监测的随机值，采用蒙特一卡罗（Ｍｏｎｔｅ－Ｃａｒｌｏ）有限元随机反分析以反推地层参数和初始地应力分布的方法。反推参数不仅给出其均值，还给出参数的方差及分布类型，为地下结构稳定性和可靠性分析提供必要数据。为检验所提的反分析方法对工程的实用性，文中给出了一个实例。  相似文献   

Stochastic perturbation analysis of groundwater flow. Spatially variable soils,semi-infinite domains and large fluctuations     

G. Christakos  C. T. Miller  D. Oliver 《Stochastic Environmental Research and Risk Assessment (SERRA)》1993,7(3):213-239

As is well known, a complete stochastic solution of the stochastic differential equation governing saturated groundwater flow leads to an infinite hierarchy of equations in terms of higher-order moments. Perturbation techniques are commonly used to close this hierarchy, using power-series expansions. These methods are applied by truncating the series after a finite number of terms, and products of random gradients of conductivity and head potential are neglected. Uncertainty regarding the number or terms required to yield a sufficiently accurate result is a significant drawback with the application of power series-based perturbation methods for such problems. Low-order series truncation may be incapable of representing fundamental characteristics of flow and can lead to physically unreasonable and inaccurate solutions of the stochastic flow equation. To support this argument, one-dimensional, steady-state, saturated groundwater flow is examined, for the case of a spatially distributed hydraulic conductivity field. An ordinary power-series perturbation method is used to approximate the mean head, using second-order statistics to characterize the conductivity field. Then an interactive perturbation approach is introduced, which yields improved results compared to low-order, power-series perturbation methods for situations where strong interactions exist between terms in such approximations. The interactive perturbation concept is further developed using Feynman-type diagrams and graph theory, which reduce the original stochastic flow problem to a closed set of equations for the mean and the covariance functions. Both theoretical and practical advantages of diagrammatic solutions are discussed; these include the study of bounded domains and large fluctuations.  相似文献   

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method     

Viet-Ha Nhu  Khabat Khosravi  James R. Cooper  Mahshid Karimi  Ozgur Kisi  Binh Thai Pham 《水文科学杂志》2020,65(12):2116-2127

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   

风云四号气象卫星地面测距系统精度改进技术     

贾耀红  任立清  郭强 《气象科技》2020,48(5):630-634

风云四号静止气象卫星(FY-4)地面测距系统用于获得分布在不同地方的5个地面站到卫星的精确距离,进而利用得到的距离数据确定并预报卫星的轨道和位置,所以测距精度是影响卫星轨道和位置确定精度的主要因素。本文根据测距系统工作的原理及过程,分析影响测距精度的误差来源,从测距体制、站址坐标测量、地面设备时延测量、转发器时延测量、大气传输时延测量和各站时间同步几个方面分析了风云四号测距系统为了提高测距精度采取的相应的技术手段。  相似文献   

岩溶坝区透水参数的随机模型   总被引：1，自引：0，他引：1  

张贵金  徐卫亚 《水文地质工程地质》2003,30(4):19-25

岩溶坝区的渗透特性受高应力场的作用,使其固有的非均质各向异性更趋复杂,采用确定性的方法不能准确的描述其本质特性。本文在对岩溶坝区透水性随机场进行分析的基础上,提出了渗透随机性的数学描述。考察岩溶坝区主要的两场作用,即渗流与应力场的耦合。基于Taylor随机有限元建立了渗流应力耦合的随机微分方程格式,并对耦合随机模型反演求解渗透参数提出了思路。  相似文献   

综合小波分析与分形方法进行弱磁异常识别   总被引：1，自引：0，他引：1  

耿喜哲  张春华 《物探与化探》2002,26(2):126-130,125

利用小波分析塔式算法对单一分形模型数据进行处理,结合“随机共振”理论,对高精度弱磁异常中的噪声和误差进行有效的分析评价,依据趋势分析方法获得的剩余磁异常,提出“加窗移动”最小二乘方法对应用非整数阶微积分的布郎运动正态随机行走进行控制,为高精度弱磁异常的有效识别提供有益的指导。  相似文献   

工作状态下梁及桥梁模态与损伤识别的新方法     

李大军  霍达 《世界地震工程》2006,22(3):66-69

工作状态下桥梁结构的模态参数识别是桥梁损伤识别的重要环节,考虑桥梁检测的实用性,桥梁检测一般应建立在环境激励的基础上,已有的环境激励下模态参数识别的方法对模态频率的识别的精度较高,而对位移模态的识别则误差较大。提出了一种利用移动质量块在不同位置时对桥梁的模态频率进行多次测量,用各次测得的频率值确定位移模态的新方法,使得位移模态识别的精度接近频率识别的精度,建立了该方法的初步模型,推导了频率与位移模态关系的理论公式,并通过数值模拟对该方法的有效性进行了说明。  相似文献   

水系形成与发展的元胞自动机模型研究          下载免费PDF全文

张俊勇  陈立  吴华林  张福然 《水科学进展》2007,18(5):695-700

河流水系的形成是在一定地质、地形、气候等条件下,水流自由发展的结果,具有自组织临界性。采用元胞自动机模型,对水系自组织形成的随机过程进行了模拟。通过改变地质、地形、气候等条件,模拟了与自然水系相吻合的多种河流水系。结合水槽实际,模拟了与水槽试验结果相似的水系形成。并通过概化形式,模拟了黄河源头东昆仑阿拉克湖地区第四纪水系演化过程,取得了良好的模拟效果。  相似文献