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gaussian模型
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  gaussian model
     THE RENORMALIZATION GROUP METHOD OF GAUSSIAN MODEL ON A PARTICULAR DIAMOND_TYPE HIERARCHICAL LATTICES
     特殊钻石型等级晶格上Gaussian模型的重整化群方法
短句来源
     GAUSSIAN MODEL ON GENERALIZED KOCH CURVES
     推广的Koch曲线上的Gaussian模型(英文)
短句来源
     The relationship between volume of each part of model and its surface area can be described by Gaussian model.
     流域模型各部分相对体积与其表面积的变化关系可由Gaussian模型来描述。
短句来源
     Using the renormalization group method, the critical behavior of the Gaussian model is studied on a particular diamond-type hierarchical (or DH) lattice in an external magnetic field.
     利用重正化群变换方法,在一种特殊钻石型等级晶格上研究了有外场存在时Gaussian模型的临界性质。
短句来源
     CRITICAL BEHAVIOR OF THE GAUSSIAN MODEL ON A DIAMOND-TYPE HIERARCHICAL LATTICE IN AN EXTERNAL MAGNETIC FIELD
     外场中一种钻石型等级晶格上Gaussian模型的临界性质
短句来源
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  “gaussian模型”译为未确定词的双语例句
     Soil nutrient had semi-variance structure, and model best fit included Exponential, Gaussian, Pentaspherical and Gaussian.
     土壤养分性质均存在半方差结构,分别拟合Exponential、Gaussian、Pentaspherical、Gaussian 模型;
     We employ Bernoulli-Gaussian model and ARMA model to represent the reflectivity sequence and seismic wavelet sequence respectively. Considering the criterion of maximum likelihood and minimum predictive error we constitute objective functions about reflectivity sequence and seismic wavelet. Each of the objective functions is optimized using genetic algorthms iteratively, which realize the blind deconvolution.
     遗传算法作为寻优手段具有全局优化和很好的稳定性.本文将遗传算法用于地震信号反褶积处理,与已往方法相比它具有更好的分辨率和稳定性我们采用Bernoulli-Gaussian模型和ARMA模型分别描述地震反射系数序列和地震子波,用最大似然和最小预测误差准则分别构造用于估计反射系数序列和地震子波的目标函数,用遗传算法优化目标函数,以实现地震信号反褶积.
短句来源
     On Parameter Testing in Complex Multivariate Guassian Model
     复多元GAUSSIAN模型中参数的检验问题
短句来源
     This thesis mainly discusses about image denoising, which has disturbed researchers for quite a long period. It does researches on Non-Local algorithm and its application in image denoising. The thesis emphasizes on the following parts: implementation on Non-Local means, comparison of method noise among Non-Local means and other filters, rational selection of neighborhoods, and Non-Local means algorithm based on General Gaussian Distribution.
     本论文主要围绕着图像去噪这个困扰了研究学者已久的图像处理难点展开了讨论,对非局部几何思想及其在图像去噪中的应用进行了研究,主要内容包括:Non-Local means算法的实现、Non-Local means算法与其它去噪算法的方法噪声比较、合理邻域的选择以及基于广义Gaussian模型的Non-Local去噪算法。
短句来源
     The characters of some numerical models which describe discharging dispersion process of flammable or toxic gases have been analyzed. The models include Gaussian plume/puff model, Gaussian plume trajectory model, BM model, Sutton model and FEM3 model.
     分析了描述易燃易爆及有毒有害气体泄漏扩散过程的数学模型 ,包括Gaussian模型、Gaussian轨迹烟云模型、BM模型、Sutton模型及FEM3模型。
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  相似匹配句对
     S. models have been found.
     S.模型
短句来源
     model.
     模型
短句来源
     GAUSSIAN MODEL ON GENERALIZED KOCH CURVES
     推广的Koch曲线上的Gaussian模型(英文)
短句来源
     Quantization of LSF parameters using a Gaussian mixture model
     基于Gaussian混合模型的LSF参数量化方法
短句来源
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  gaussian model
The problem of estimating a linear functional in a linear Gaussian model is considered.
      
A non-Gaussian model is proposed for the description of long-term variations in river runoff.
      
For the Gaussian model of a lens, a Green-function-based method is proposed to compute the intensity distribution in the lens image plane.
      
The effects of the meson structure are taken into account on the basis of the Gaussian model for the respective Bethe-Salpeter amplitudes.
      
Self-consistent Gaussian model of nonperturbative QCD vacuum
      
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Global optimum and higher stability are characteristics of genetic algorithms that is a good tool for solving optimum problem. In this paper, we propose a new method of deconvolution of seismic signal based on genetic algorithms. Compared with other deconvolution methods, it has a higher resolution and higher stability. We employ Bernoulli-Gaussian model and ARMA model to represent the reflectivity sequence and seismic wavelet sequence respectively. Considering the criterion of maximum likelihood and minimum...

Global optimum and higher stability are characteristics of genetic algorithms that is a good tool for solving optimum problem. In this paper, we propose a new method of deconvolution of seismic signal based on genetic algorithms. Compared with other deconvolution methods, it has a higher resolution and higher stability. We employ Bernoulli-Gaussian model and ARMA model to represent the reflectivity sequence and seismic wavelet sequence respectively. Considering the criterion of maximum likelihood and minimum predictive error we constitute objective functions about reflectivity sequence and seismic wavelet. Each of the objective functions is optimized using genetic algorthms iteratively, which realize the blind deconvolution.

遗传算法作为寻优手段具有全局优化和很好的稳定性.本文将遗传算法用于地震信号反褶积处理,与已往方法相比它具有更好的分辨率和稳定性我们采用Bernoulli-Gaussian模型和ARMA模型分别描述地震反射系数序列和地震子波,用最大似然和最小预测误差准则分别构造用于估计反射系数序列和地震子波的目标函数,用遗传算法优化目标函数,以实现地震信号反褶积.

Abstract Using the decimation renormalization group with spin rescaling method, the critical behavior of the modified Gaussian model is studied on two kinds of generalized Koch curves, and critical points and correlation exponents are found. These results are identical with previous results.

给出了两种推广的Koch曲线,利用部分格点消约和自旋重标相结合的重正化群方法在这两种曲线上研究了推广后的Gaussian模型的临界性质,求出了临界点和临界指数.这些结果与已有的相关结果都是一致的.

The renormalization group method of the modified Gaussian model is given on a particular diamond_type hierarchical lattices, and the critical behavior is studied. The result implies that the magnetic property of this model do not belong to a same universal class on this lattice and a family of the diamond_type hierarchical lattices.

在一种特殊钻石型等级晶格上,给出了推广后的Gaussian模型的重整化群变换方法,求出了临界点和临界指数.结果表明:这样一种特殊钻石型等级晶格和一般的一族钻石型等级晶格的铁磁相变性质属于不同的普适类

 
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