资源列表
蚁群算法求解TSP问题
- 利用基本蚁群算法求解TSP问题，在100次迭代中得到了收敛
Classical algorithm
- 文件夹包括：经典MUSIC算法、基于波束空间的MUSIC算法、Root-Music算法、前向平滑MUSIC算法、后向平滑MUSIC算法、双向平滑MUSIC算法、奇异值算法、线性预测算法及旋转不变子空间算法等，是学习空间谱估计的很好例程(Folders include: classical MUSIC algorithm, beamspace-based MUSIC algorithm, Root-Music algorithm, forward smoothing MUSIC algorithm
Randomly sprinkle points
- 本次试验中，在单位方格内，随机撒20个传感器一次，通讯半径0.42时，覆盖率（黑色点数除以总点数）可以达到100%。每张图的左边是半径变大的动态图，右边是对应的覆盖率以及关于多次试验（蒙特卡罗）所求的通讯半径与覆盖率的关系。(In this experiment, 20 sensors are scattered randomly in a unit grid. When the communication radius is 0.42, the coverage (black points d
73462666GWO
- 狼优化算法，能够实现多参数的寻优过程，非常使用的好程序。(Wolf optimization algorithm can achieve multi parameter optimization process.)
FEM_for_2D_truss
- 可以计算平面桁架的matlab有限元计算程序(Matlab finite element calculation program for plane truss)
多目标 IEEE30
- 以具体30节点标准系统为例，运用粒子群算法进行仿真计算(Taking the specific 30 node standard system as an example, the particle swarm optimization algorithm is applied to the simulation calculation.)
线性回归
- 此为用Matlab实现线性回归的底层代码，可供学习者参考学习(This is the bottom code for linear regression using Matlab, which can be used for reference by learners.)
ArduinoIO
- Matlab code for Distribution power Flow using OpenDSS Matlab Interface
uci-breast-cancer-master
- 机器学习中的随机森林算法，用于空气质量预测(Random forest algorithm in machine learning for air quality prediction)
SVR
- 单相PWM整流器，实现能量的双向流动，采用直接电流控制，母线电压稳定输出在400V。(Single-phase PWM rectifier, realizing bidirectional flow of energy, using direct current control, bus voltage stable output in 400V.)
Hilbert-Vibration-Decomposing-(HVD)
- congr.m - Congruent envelope and instantaneous frequency coph.m - Congruent phase estimation diffir.m - Remez differentiator with filtering procedure(duffod.mat - Duffing equation forced excitation and vibration solution duffrd.mat - Duffing equ
MATLABcode
- 采用bp对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。(Using bp for height and weight in male and female sample data, like math, like literature, like sports, design boys and girls classifiers, and calculate model prediction perform