MATLAB

文章简述了一位大牛研究深度学习（Deep Learning）后的心得及见解(Article outlines a large cattle study deep learning (Deep Learning) after experiences and insights)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

说明：  本程序用在测试采煤机煤矸识别系统中，验证小波算法(Wavelet Algorithm for caving coal)

t_tide潮流分离更新新版本。可以针对潮汐与海流进行有针对性分离。(t_tide trend separation to update the new version. Targeted separation for tides and currents.)

说明：  1.5MW风力机叶片功率系数Cp计算程序示例，采用梯形法数值积分计算(1.5MW wind turbine blade power coefficient the Cp calculation program examples, numerical integration using the trapezoidal method)

结合粒子群优化算法和和声搜索算法的优点，有效将群智能思想和随机全局搜索相融合，在几个函数优化问题中得到了验证 (Combining particle swarm optimization algorithm and harmony search algorithm advantage, effective will swarm intelligence thought and random global search phase fusion, in several function optimization problem has been proved )

用麦克麦考方法求解一维burgers方程的matlab代码(By Mike McCaw method for solving one-dimensional burgers equation matlab code)

本程序用于磁场积分方程求解圆柱的电磁散射问题。(This procedure for the cylindrical magnetic field integral equations of electromagnetic scattering problems.)

用visual basic编译的布谷鸟算法的源代码,是一种很好地启发式智能算法。(Use visual basic compiler cuckoo algorithm source code, is a good heuristic intelligent algorithm. )

Maximum Flow Graph (Boykov Kolmogorov Algorithm)