资源列表
Engine6_
- 发动机matlab控制模型，包括内部燃烧模型(engin control matlab model)
一些算法
- 用MATLAB语言编程实现粒子群算法的程序(Using MATLAB programming language to achieve particle swarm optimization program)
合并排序的分治算法
- 在Visual C++里编写程序，用分治法完成随机输入数列的合并排序(The program is written in Visual C++, and the sorting and sorting of random input sequence are completed by divide and conquer method)
cepstrum
- CESPTRUM TECHNIQUE FOR SIGNAL PROCESSING TECHNIQUE
accelerometers
- vibration measuring instrument
isosurface_demo
- 利用matlab自带的isosuface函数实现人体头颅的三维重建(Realization of 3D reconstruction of human head by using isosuface function of MATLAB)
emd comparison
- Signal processing technique
symbtut
- Mathematical operations in MATLAB
interpolation
- Interpolating n image
最小二乘法拟合
- %最小二乘法下用a*sin（x）+b*cos（x）拟合下列散点坐标 %求出拟合系数a，b和方差Dx(The least square method is used to fit the following scatter coordinates with a*sin (x) +b*cos (x) The fitting coefficients a, B and variance Dx were calculated)
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
Training
- 极限学习机的回归拟合——对比实验研究，改进BP算法的一些缺点，在ELM算法的基础上进行回归拟合预测。(Regression fitting Some shortcomings of BP algorithm are improved, and regression fitting prediction is carried out on the basis of ELM algorithm.)