Orbital_compute

说明：  BP神经网络用于分类与回归 1、NeuralNetwork_BP_Classification.m - 分类 2、NeuralNetwork_BP_Regression.m - 回归 (BP neural network for classification and regression 1, NeuralNetwork_BP_Classification.m- Category 2, NeuralNetwork_BP_Regression.m- Regression)

本站以C语言和Java语言、嵌入式开发、算法实现为主，源码数量达几十万个，有200多个分类，很多都是本站会员的私家珍藏，互联网上其他地方是找不到的 (Digital Signal Processing)

用于车辆路径的优化的禁忌搜索程序代码，能够解决多车辆的动态调度问题(it is for SDVRP )

说明：  IEEE30算例,已经可以直接使用，用于基本的潮流算法测试(IEEE30 case it can be used to test power flower algorithm)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

混响的算法，效果良好，可根据自己需求调节(Reverb algorithms, to good effect, according to their own needs adjustment)

MATLAB雨燕程。电力系统电压骤降信号的小波分解结果(MATLAB Swift away. Power system voltage sag signal wavelet decomposition results)

Omni-directional mobile robot controller based on trajectory linearization

DC MOTOR SIMULATION USING SIMULINK

A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller