输电线路故障行波仿真

计算加权加速度,计算目标和海洋回波的功率谱密度,用于时频分析算法。( Weighted acceleration, Calculating a target and ocean echo power spectral density, For time-frequency analysis algorithm.)

这是我找的java原代码,大家一起分享哦()

仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析，用MATLAB编写的遗传算法路径规划。( FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Genetic algorithms using MATLAB path planning.)

遗传算法进行优化求多元函数 （Griewank Function）最小解问题(genetic algorithm optimization for multi-function (Griewank Function) Minimum solutions to the problems)

内含VMD相关matlab程序及VMD相关文章，方便阅读(it is a VMD program.)

基于PWM控制的三相逆变器，采用PI调节，输出电流电压波形稳定。(The three-phase inverter based on PWM is controlled by PI, and the output current and voltage waveform is stable.)

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

基于果蝇的算法优化支持向量回归的matlab程序，包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)

三相三线制APF仿真模型，控制方法采用滞环，谐波检测采用ipiq(APF simulation model of three phase and three wire system, control method adopts hysteresis loop, and harmonic detection adopts ipiq)

说明：  滑模控制器的程序，用M文件和model实现，很有参考价值(Sliding mode controller procedures, with M files and model achieved a good reference)