• A calculation model is established in the paper for determining the water use ensurance probability based on the statistic analysis of irrigation area inflow and water needed.

    在对灌区来水和需水随机性分析的基础上,建立了一种确定灌区灌溉用水保证率的计算模型。

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  • A new model of thermal contact resistance based on the statistic characteristic of roughness profile is proposed in this paper.

    本文在对粗糙度曲线统计特征分析的基础上,提出了一种接触热阻的计算模型。

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  • Based on the analysis of the effective factors of the seepage monitoring effect quantities, seepage statistic mathematic model in the form of multinomial are proposed and established.

    在全面分析渗流监测效应量影响因素的基础上,提出并建立了多项式形式的渗流统计数学模型。

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  • Based on the stochastic hydrology simulation theory and techniques, a stochastic mathematical model which can reproduce the statistic characteristics of observed yearly runoff processes is studied.

    本文用水文随机模拟的理论和方法,探求符合实测统计特性的全年径流过程的随机数学模型。

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  • The model consists of three parts: rule based module, neural network module, and statistic analysis module.

    该模型由基于规则的检测模块、神经网络组件、统计分析处理模块三个主要模块组成。

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  • In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.

    为了更有效地利用图像的局部特征恢复被噪声感染的图像,基于图像局部纹理方向概率统计模型,提出一种针对混合噪声的非线性滤波算法。

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  • Thus, combined with research results of statistic learning theory, the optimal regress model based on least-absolute criteria, or LaOR model was proposed to solve the problem.

    为此,结合统计学习理论的研究成果,建立了基于最小一乘准则的最优回归模型,并将其应用于商业银行的信贷风险评估中。

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  • Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.

    针对离散小波变换具有平移变化性和弱方向性的特性,本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。

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  • A new propagation prediction method for urban microcellular systems is presented based on measurement data and statistic model.

    基于路测数据和统计模式,提出了针对城市微蜂窝的模式修正场强传播损耗预测方法。

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  • A prosody modeling method based on statistic model is described.

    论述了采用基于统计模型进行韵律建模的思路。

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  • Based on statistic analysis, a comprehensive analysis prediction model for middle and long term hydrological forecast was presented.

    依统计分析,建立了水文中长期预报的一个综合分析预测模式。

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  • The objective function in the model of prediction of protein structure is a potential energy function, either physics-based potentials or statistic-based potentials.

    蛋白质结构预测模型的目标函数通常采用基于物理理论的经验势函数或基于统计理论的平均势能函数。

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  • The statistic model of fire risk assessment is based on fire losses, population density, buildings density, road density and fire protection force.

    选用单位面积火灾损失、人口密度、建筑密度、路网密度和消防力量建立城市火灾危险预测与评估的统计模型。

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  • Comparing with the models based on multiple statistic analysis, generalized regress-ion neural network or adapted fuzzy neural network model, it shows better learning precision and generalization.

    与多元线性回归、模糊回归和自适应模糊神经网络相比,该模型学习精度高且具有较好的泛化能力,能取得较好的预测效果。

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  • GM(1,1)model is established based on the statistic data.

    以因工伤亡年度统计数据为依据,建立GM(1,1)模式型。

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  • The model of micro-damage and mesoscale model based on micro-damage statistic, both of which were advanced by the proposer of the item.

    考核了本项目申请人在预研过程中提出的材料细观损伤模型以及基于细观损伤统计的亚宏观损伤模型。

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  • The statistic characteristics of spike under the specified false-alarm probability based on K-distributed model were studied.

    以K分布为模型,研究了在指定雷达虚警概率下海尖峰发生次数的统计特性。

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  • But through the analysis of the data model for activity-based, the author found that the current models has some drawbacks on the dynamic character, videotext and statistic analysis and so on.

    但作者对现有的基于行为的时空数据模型的分析中发现已有的模型在个人行为的动态性特征体现、行为可视化以及行为活动的统计、分析等技术上存在一定的欠缺。

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  • But through the analysis of the data model for activity-based, the author found that the current models has some drawbacks on the dynamic character, videotext and statistic analysis and so on.

    但作者对现有的基于行为的时空数据模型的分析中发现已有的模型在个人行为的动态性特征体现、行为可视化以及行为活动的统计、分析等技术上存在一定的欠缺。

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