资源列表
psopt
- 一种粒子群算法，可以优化具有线性约束、非线性约束、等式约束、有界约束的问题，使用方法与MATLAB自带的GA算法类似（搬运）(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
Raptor（LDPC预编码）
- raptor的MATLAB仿真程序，调试可行，有参考价值，有助于喷泉码的研究(Raptor MATLAB simulation program, debugging feasible, with reference value, contribute to fountain code research)
elm
- 使用极限学习机进行预测，含有实际电厂数据(Using extreme learning machine to predict, which contains actual power plant data)
三种熵
- 样本熵,MATLAB 模糊熵,MATLAB 近似熵,MATLAB(Entropy is a measure of complexity. It quantifies the unpredictability of fluctuations in a time series.)
无控弹道落点散布仿真
- 在纵向平面内实现某导弹的无控弹道仿真，加入初始干扰与风干扰，多次循环实现落点散布的研究。(The non controlled ballistic simulation of a missile is realized in the longitudinal plane, the initial interference and wind interference are added, and the study of falling point dispersion is realized b
45678
- 基于MATLAB实现的说话人识别程序(声纹识别)，分别用bp、pnn、som、rbf、lvq等算法(Speaker recognition program based on MATLAB (voice recognition), respectively BP, PNN, SOM, RBF, LVQ algorithm)
PV_BAT_PMSM_REC_VF
- 仿真一个微电网历程,使用simulink2011b版本，包括光伏发电 风力发电 储能系统等。(simulate a micro grid by using simulink 2011b)
参数提取
- matlab编程实现通过NRW算法将S参数提取人工电磁材料的结构参数--等效介电常数和等效磁导率(Matlab programming is used to extract the structural parameters of the artificial electromagnetic materials through the NRW algorithm - the equivalent permittivity and the equivalent permeability of th
RLS
- 锂离子电池内部参数辨识，带有遗忘因子的最小二乘算法(Internal parameter identification of lithium ion battery and least square algorithm with forgetting factor)
IEEE33节点算例
- IEEE33节点配电网电磁暂态仿真模型，包含配电网无限大电源母线，三相对称的支路与负荷模型，以及各负荷点处测量单元。(The electromagnetic transient simulation model of IEEE33 node distribution network includes the infinite bus of distribution network, the three-phase symmetrical branch and load model, and th
Graphene
- MATLAB编程可计算吸收率电导率等公式，对石墨烯计算和拟合分析很有帮助(The fitting of computable absorptivity in MATLAB programming)
无功优化PSO程序
- 粒子群算法在无功优化中的应用，非常简洁，实用(Application of particle swarm optimization in reactive power optimization)