NS_SAR_ADC_1order

说明：  该插件用于快速生成2维VORONOI图 请将文件解压到C盘-用户-abaqus_plugins文件夹下(This plug-in is used to generate 2D Voronoi graph quickly Please unzip the file to the C disk user ABAQUS plugins folder)

说明：  tarjan算法求解有向图中的简单环，非常好用(Tarjan algorithm is very useful for solving simple rings in directed graphs.)

灰色预测是通过鉴别系统因素之间发展趋势的相异程度，即进行关联分析，并对原始数据进行生成处理来寻找系统变动的规律。(The grey prediction is to identify the different degree of the development trend between the factors of the system, that is, to carry on the correlation analysis, and to process the original data to find the law of the system change.)

说明：  建立基于子空间辨识的PEMFC电特性状态空间模型。(A state space model of PEMFC electrical characteristics based on subspace identification is established.)

MATLAB神经网络案例分析 BP神经网络的数据分类-语音特征信号分类(MATLAB BP Neural Network - Classification of Speech Characteristic Signals)

说明：  fluent UDS的一段程序，可以照着这个自学UDS，很好用(A program of fluent UDS can be used for self-study according to this UDS)

自适应（ self-adaptive）是指处理和分析过程中,根据处理数据的数据特征自动调整处理方法、处理顺序、处理参数、边界条件或约束条件,使其与所处理数据的统计分布特征、结构特征相适应,以取得最佳的处理效果(Self-adaptive refers to the automatic adjustment of processing methods, processing sequence, processing parameters, boundary conditions or constraints according to the data characteristics in the process of processing and analysis, so as to adapt them to the statistical distribution characteristics and structural features of the processed data, so as to achieve the best processing effect.)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)

说明：  matlab画三维凸包，根据一些离散点，效果非常好(Matlab draws three-dimensional convex hull, according to some discrete points, the effect is very good.)

说明：  采用simulink搭建IEEE标准33节点仿真模型及.m程序(IEEE standard 33 node simulation model)