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Highly efficient and stable method of parameter estimation is built. The fitting degree of extensive extreme value distribution and the extremeⅠ,Ⅱ,Ⅲtype distribution was compared, among which the optimal distribution type are researched.

针对极大似然法参数估计的失效问题,将逐步迭代法推广应用于广义极值分布,建立了参数估计的高效稳定算法,并比较广义极值分布与极值Ⅰ、Ⅱ、Ⅲ型分布的拟合度,研究平均风速的最优分布类型。

The experimental data were trained by BP neural network, and the results were curve fitted to set up a fitting function which was used in the genetic algorithm process to reach the optimum.

首先利用BP神经网络来训练已有实验值,然后将训练后的神经网络作为知识源,通过曲线拟合与逼近求得设计变量与目标函数值的函数关系表达式,最后将这一函数表达式作为遗传算法的适应度函数进行遗传迭代寻找最优解。

Experimental results show that the linear algorithm,with high fitting accuracy and low computing complexity,is a suitable solution for wavelength calibration in grating spectrometer.

实测数据表明,线性算法拟合准确度接近最优解,计算复杂度低,是一种最适合于光栅光谱仪波长校准的算法。

It is difficult to obtain the accurate segmentation threshold of the image. This paper uses the multinomial to approximate the histogram envelope curve by different phase. So the question of how to obtain the accurate segmentation threshold of the image can convert into the solution of the minimum of multinomial, Using this method it can be solved the question how to segment the image more accurately.

对于在图像分割时难于得到图象分割的准确阈值问题,提出利用多项式对直方图包络线进行分段拟合,把图像分割阈值问题转化为求多项式极小值的问题,从而求出用于分割图像不同灰度层次的最优阈值的方法。

Based on modern optimization theory and optimal control theory, this dissertation studies some questions as follows:1. The optimization model of parameter identification of three-dimensional geologic history numerical simulation, algorithm and its applicationGeologic history numerical simulation is a basic content of basin numerical simulation, and the porosity is the major parameter in the evolution and development process of oil-bearing basin. According to the sedimentation and burial mechanism, the physical and chemical principles of oil geology, the mudstone porositys non-linear parabolic partial differential equation has been established.

本文应用现代最优化及最优控制理论,对如下一些问题进行了研究: 1、三维地史数值模拟的参数辨识优化模型、算法及应用地史模拟是盆地数值模拟的一个基础性的研究内容,地层孔隙度是含油气盆地地史演化发育过程中的重要参数,根据地层沉积埋藏机理和石油地质的物理化学原理,通过引入数学物理方程概念,建立了泥岩三维孔隙度场方程,根据问题的特点,给出了方程的定解条件,对方程的动边界也给出了处理方法,并且证明了解的存在性与惟一性,在此基础上建立了以当今实测数据为拟合准则的三维地史数值模拟的参数辨识优化模型,这是一个含有二阶偏微分方程约束的泛函极值问题。

Limiting the alternatives of model by residual variance, together with parameters estimation, the correlation of the estimates matrix, the autocorrelation check of the residuals and the fitting test, can help to search for suitable model quickly and accurately.

通过残差方差定阶法缩小模型选择范围,再结合模型的参数估计、相关系数矩阵、白噪声检验和拟合优度检验最后确定模型的思路,有利于快速准确找到合适的模型。

aim: to generate random sequences that can fit the anticipated probability distribution based on the thinking of mc, methods: we establish a method in the ide of visual studio by the way of linear congruential method to generate random sequences.we also test the homogeneity and independence by the chi-sqare goodness of fit test and self-correlation test.

v+\$oXb;L^7h_0 目的:基于mc法生成符合预期概率分布的随机序列,以便应用在以后的仿真系统中。方法:应用线性同余法在visual studio环境中建立随机模型模拟随机序列生成。并采用χ2拟合优度检验法和自相关检验法检验生成的随机序列的均匀性、独立性。

The Hardy-Weinberg equilibrium for genotypic distribution was estimated by the goodness-of-fit test. The UNPHASED program was applied to perform the transmission disequilibrium test, the haplotype analysis and the pair-wise measure of linkage disequilibrium between these 2 SNPs.

利用拟合优度χ2检验分析基因型分布频率是否符合Hardy-Weinberg平衡定律,应用UNPHASED软件包进行2个SNPs的传递不平衡检验、单倍型分析和连锁不平衡程度的测量。

The HardyWeinberg equilibrium for genotypic distribution was estimated by the goodnessoffit test.The UNPHASED program was applied to perform the transmission disequilibrium test and the combined effect analysis of the paired SNPs.

利用拟合优度χ2检验分析等位基因和基因型分布频率是否符合哈迪-温伯格定律,应用遗传统计学软件进行2个SNPs的传递不平衡检验以及双位点联合作用分析。

Furthermore, parameter calculation and testing goodness of fit were made with AMSAA- BISE model fitting.

并用AMSAA-BISE模型进行了增长趋势检验和拟合优度检验。

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