资源列表
psobp
- 粒子群算法PSO优化BP神经网络的MATLAB代码 -PSO Particle Swarm Optimization of BP Neural Network MATLAB code
grainGenerator
- abaqus 插件，用于生成晶粒. 将其放在abaqus_plugins文件夹中即可使用。(The file is an abaqus plugin which is used to generate grain in the abaqus. It is available when put into the abaqus_plugins files.)
EEMD和VMD程序
- EEMD在EMD的基础上进行添加高斯白噪声，VMD相对于EEMD时频分解效果更好，有效的抑制了模态混叠和端点效应(EEMD adds Gaussian white noise on the basis of EMD, and VMD has better effect on time-frequency decomposition than EEMD, effectively suppressing modal aliasing and endpoint effects)
pso
- 在微电网中综合考虑经济和环境两个目标，以各微源的运行上下限为约束条件，采用粒子群算法在matlab环境下进行了仿真，最后给出了微网各微源的最优机组组合方式和最佳电能交易计划。(The first establish micro multi-objective energy optimal operation model, taking into account both environmental and economic factors in the model, the operation
ep_gra
- 这个matlab文件用来说明生成石墨烯的电导率和介电常数的文件。(matlab graphene,this file is about the graphene's permittivity.i hope it is useful for some people.)
MMAcode_Krister_Svanberg
- 拓扑优化经典算法matlab语言程序，希望对各位有帮助，一起交流(Topology optimization classic algorithm matlab language program, I hope to help you, communicate together)
《合成孔径雷达成像 算法与实现》code
- 合成孔径雷达成像算法与实现的相关代码，详细简单易懂(Code for SAR imaging algorithm and Implementation)
model-free adaptive control
- 北京交通大学侯忠生教授的无模型自适应控制的实际应用和理论研究应用，详细介绍了无模型自适应控制的主要应用领域。附录为无模型自适应控制书中的MATLAB程序代码，运行可以复现书中的仿真图。(Professor Hou Zhongsheng of Beijing Jiaotong University introduced the practical application and theoretical research application of model-free adaptive cont
S参数反演程序
- 利用S参数，即S11和S21反演介质的有效介电常数和有效磁导率(Inversion of effective permittivity and permeability of dielectrics using S parameters, i.e. S11 and S21)
DP
- 基于动态规划算法对混合动力汽车能量管理策略建模后进行问题计算(Problem calculation of hybrid electric vehicle energy management strategy based on dynamic programming algorithm)
Crack
- COMSOL with Matlab 随机裂隙生成 矩形内建立随机椭圆裂缝(Random elliptical cracks are established within the rectangle)
程序_结构风荷载理论与Matlab计算
- 结构风荷载理论与matlab计算的实例程序，适合初学者理解matlab风荷载计算(The wind load theory of structure and the example program of matlab calculation are suitable for beginners to understand the wind load calculation of MATLAB)