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So the adaptive genetic algorithm is efficient and feasible in back analysis for seepage coefficient of arch dam.

因此,自适应遗传算法为渗流领域求解反演问题提供了新的途径。

Due to the fact that the method based on local linearization is usually lost in local minimum values and the optimization solution is dependent on the selection of initial solution,the standard genetic algorithm has po...

该算法利用拟网格法初始种群和综合交叉策略,克服了早熟收敛现象,从而提高了遗传寻优的效率。理论模型反演与其它方法比较,结果说明遗传算法具有不依赖初始模型,不容易陷入局部极小,多点多路径概率搜索,以及隐含并行性等优点。

The compared experiment between iterative method and MUSCAT was conducted.

进行了迭代算法和MUSCAT算法的比较试验,两者反演结果比较类似。

This split window algorithm is based on the thermal radiation data which is observed by NOAA—AVHRR.

本文比较了这三种算法,并建立了基于MODIS和分裂窗算法的北京市地表温度反演模型。

In order to resolve this problem, we bring forward a modified algorithm and apply it to pre-stack inversion of reservoir parameters (Poisson ratio, P-wave velocity and density).

本文在前人研究的基础上提出了改进的模拟退火算法,同时利用改进的算法反演了地层泊松比、纵波速度和密度。

The free proration method transformed the decision variables fromΔt_i andΔt_ with complex restriction intoτ_i、τ_p,jwith the value range of 0~1, and provided a simple and convenient method for optimum design.

为拟合蒸发计算的众多复杂参数以便于编程计算,从实型参数项的搜索、高效实数编码策略等方面改进了基于遗传算法的智能拟合法,并研究了基于遗传程序设计和微粒群算法的多元非线性智能反演技术。

In order to increase the local searching ability of simulated annealing algorithm,the simplex method and Powell method are introduced.

为了增强模拟退火算法的局部搜索性能,将局部搜索能力较强的单纯形法和鲍威尔法引入模拟退火算法当中,形成了基于模拟退火的全局混合反演方法。

It evaluates the process of feature point matc hing by extracting feature point by the Harris corner detector, forming a correlation matrix in terms of the monogenic s ignal elements{p,q 1,q 2},then to the stage of RANSAC inliers selection so as to eliminate the false feature point pairs and to calculate the fundamental matrix of epipolar geometry.

其核心 思想是用Harris角点检测算法提取特征点,然后以单演信号元素{p,q 1,q 2}构成相关矩阵,提取出初始特征匹配点对,再用随机抽样一致性算法去除伪匹配的特征点对,选择内点集估计对极几何的基本矩阵,实现图像的配准。

The results of simulated calculation show that the algorithm can achieve higher accuracy of temperature and emissivity inversion,and also has broad applicability.

结果表明,该算法能够获得较高的地表温度和发射率反演精度;具有较广的适用范围;对测量过程中大气下行辐射变化不敏感;同时算法具有一定的抗噪性。

After comparing their accuracy,two-factor split window algorithm is selected for the retrieval.

因此,在算法上,我们将选择计算过程相对简便但反演精度又很高的两因素分裂窗算法。

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