▍1. psoSVMcgForRegress
一种基于粒子群参数优化算法的支持向量机，用于数据的回归分析(Particle swarm optimization algorithm based on the parameters of support vector machine for regression analysis of data)
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▍2. madgwick_algorithm_matlab
九轴姿态解算，数据代码都有，可运行实测；很好运行(Nine axis attitude calculation, data codes are available, can be measured and run well.)
▍3. code
三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱(Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd order complementary method in the design of two-band filters ( complementary high, low pass ), so as to realize the four band filter group 3: to estimate the power spectrum )
▍4. project_PSOBP
一个基于PSO优化weights的BP算法程序来进行故障诊断(PSO-based algorithm to optimize weights of BP procedures for troubleshooting)
▍5. project_PSOBP
一个基于PSO优化weights的BP算法程序来进行故障诊断(PSO-based algorithm to optimize weights of BP procedures for troubleshooting)
▍6. New folder
采用粒子群算法对滑模控制器参数进行整定，对象为倒立摆(The particle swarm optimization algorithm is used to adjust the parameters of the sliding mode controller. The object is inverted pendulum.)
▍8. boid模型的仿真
boid模型的仿真，得出具体动物群集运动行为的规律、模型(Simulation of boid model)
▍9. Ada_SVM
AdaBoost 和SVM 组合 分类识别代码(combine AdaBoost and SVM to classification )
▍10. 选址定容
经典遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
▍11. gads
matlab遗传工具箱，用于遗传代码的编写以及开发(matlab gasd tool)
▍12. bppid
基于神经网络bp的pid控制器，可以运行。(based on nerual network pid controller)
▍13. GPB
广义伪贝叶斯算法，一阶和二阶模型的，用于但机动目标跟踪问题(Generalized pseudo-Bayesian algorithm, the first order and second-order model for the maneuvering target tracking problem)
▍14. yichuanzizhen
子阵划分的群体智能优化算法 遗传算法 利用遗传算法进行子阵划分(Subarray by swarm intelligence optimization algorithm Genetic Algorithm)
▍15. Simular_Aneal_tools
模拟退火算法matlab工具箱，可以用于多目标优化、约束优化等方面，配合进化算法使用，是难的的好工具(Simulated annealing algorithm matlab toolbox that can be used for multi-objective optimization, constrained optimization, etc., coupled with the use of evolutionary algorithms is a good tool for difficult)
▍16. Nearest-neighbor-clustering-method
近邻聚类法的代码实现。对样本按距离进行分类，将距离近的归为一类，直到截止阈值，以循环迭代实现。(Code of the nearest neighbor clustering method. Be classified according to the distance of the sample, a distance nearly normalized loop iteration until the cut-off threshold.)
▍17. RBTS_F4序贯
计算RBTS——F4网络的序贯可靠性指标(Computing sequential reliability index of RBTS -- F4 network)
▍18. lhtgaijin
svm预测程序，绝对能用，但是需要根据向量维数进行相应调整(svm forecasting process definitely can, but need to carry out the corresponding dimension vector adjustment)
▍19. kpca_azaaza
核主成分分析KPCA算法源码[matlab](KPCA Kernel Principal Component Analysis algorithm source [matlab])
▍20. code_branch_s3vm
基于半监督支持向量机算法，能得到全局最优解，很好用。(Run test_two_moons.m to see the solution of the branch-and-bound algorithm on the two moons toy problem)
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