资源列表
factor
- 多种对于材料S-N曲线的修正方程，考虑平均应力对S-N曲线的影响，包括ASME Safety Factor (ASME) Gerber Safety Factor (Gerber) Goodman Safety Factor (Goodman) Langer Safety Factor (Langer) Von Mises stress due to alternating loading (VM_Stress_Alt) Von Mises stress due t
BPPID
- 基于BP神经网络的PID控制器的参数整定(PID Controller based on BP Neural Network)
zhengjiaobianhuanfa
- 使用正交变换法计算结构可靠度，这是Matlab实现程序案例。(Calculation of structural reliability by using orthogonal transform method, This is a case of the Matlab implementation program.)
voronoi
- 基于matlab软件，实现3D有边界的voronoi图。(A Voronoi diagram with a boundary for 3D)
6954476ADRC
- 自抗扰控制源码，欢迎大家下载 From the source of disturbance rejection control, welcome to download(ADRCFrom the source of disturbance rejection control, welcome to download)
Dijkstra_Matlab
- 求解最短路，使用Dijkstra算法。使用的编程语言是Matlab。(Using Dijkstra Algorithm to solve the shortest path problem.)
project
- 三维空间散点投影（旋转+平移）至散点所在二维平面，得到在二维平面上的对应平面坐标。(Three dimensional space scatter projection (rotation + translation) to the two-dimensional plane of the scatter point, the corresponding plane coordinates in the two-dimensional plane are obtained.)
实验7_图像的颜色空间变换
- 图像的颜色空间变换，将图片图分解为红、绿、蓝三种基色。(Image color space transformation, the picture is divided into red, green, blue three basic colors.)
MUSIC
- MUSIC算法以及二维MUSIC算法程序及仿真图(MUSIC algorithm and 2D-MUSIC algorithm)
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD
stanford-deep-learning-matlab-code
- Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
遗传算法
- 理解遗传算法的入门程序，这里面每一个程序的代码都有标注。便于理解生成种群、遗传和变异过程，附带了一个算例，可以参考。(Understand the entry procedure of genetic algorithm, in which every program's code is marked. It is easy to understand the process of population, heredity and mutation. A numerical example is