资源列表
PSOTrainBP
- BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural n
SVM支持向量机
- 采用matlab机器学习语言，支持向量机(Machine learning language classification)
FEM_FDTD
- 用有限差分法计算电位分布，在矩形区域，初值是0V和10V(Calculation of potential distribution by finite difference method)
Genetic Algorithm with PHM
- 遗传算法与和机械故障诊断向结合的matlab程序，包括例子，少许修改即可自用。(Genetic algorithm and MATLAB combined with mechanical fault diagnosis, including examples, can be used by a small number of modifications.)
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)
prhzotyping
- 近似熵MATLAB的计算程序2,可以通过此程序对脑电信号EEG进行分析(Approximate entropy of MATLAB to calculate the 2, EEG can through this program of EEG signals is analyzed)
lstm
- lstm实例+代码，包含详细注释，能运行，简单的房产价格预测实例(Lstm u5B9E u4F9 u4E09 u4EF3 u643 U6D4B u5B9E u4F8B)
多因子量化选股策略
- 多因子量化选股策略：量化投资是最近几年美国兴起的新型投资模式，国内才刚起步，本程序希望对大家有益(Multifactor Quantitative Stock Selection Strategy: Quantitative Investment is a new investment model that has sprung up in the United States in recent years, and is just starting in China. This procedu
pe_pmsm_field_weakening_control
- 永磁同步电机矢量控制弱磁仿真例程，参考学习(Permanent magnet synchronous motor vector control weak magnetic simulation routines, reference learning)
PSO程序
- 使用三种不同的粒子群算法，分别求解函数的极值，三种算法循序渐进，但每一种都有部分改进，新手上路，可以很好的感受到粒子群算法的变化特性(Three different particle swarm optimization algorithms are used to solve the extremum of the function, three algorithms are progressive, but each one has some improvements, beginners
matlab code
- MATLAB中随机森林分析，bp神经网络分析实例(Random forest analysis in MATLAB and example of BP neural network analysis)
Improved K-means
- 基于数据密度自动计算最佳K聚类中心，对数据进行聚类(The best K clustering center is automatically calculated based on data density to cluster data.)