scycle

基于感知器的iris数据集分类算法，matlab实现，有注释。(Classification algorithm based on the iris data set of the perceptron, the Matlab implementation, and comment.)

说明：  带有死区的hammerstein模型辨识(Identification of Hammerstein model with dead time)

鲁棒性好，性能优越，PLS部分最小二乘工具箱,算法优化非常好，几乎没有循环。( Robustness, superior performance, PLS PLS toolbox, Algorithm optimization is very good, almost no circulation.)

Using spectra to calculate strength of reflections and losses in passive cavities.The wavelength, reflection spectrum and transmission spectrum should be in the first 3 columns of an Excel file, which is selected when the cavity.m Matlab file is run. (Using spectra to calculate strength of reflections and losses in passive cavities.The wavelength, reflection spectrum and transmission spectrum should be in the first 3 columns of an Excel file, which is selected when the cavity.m Matlab file is run.)

有m台不同的机器，n个不同的工件。每个工件有多道工序，每道工序由指定的机器在固定的时间内完成。一道工序一旦开始处理，就不能中断。每台机器一次只能处理一道工序。一个调度就是决定每台机器上工序的处理顺序，使得机器完成所有工件的时间最短。具体的，该问题就是要求在满足（1）、（2）两个约束条件的前提下，确定每台机器上工序的顺序，使加工的时间跨度（从开始加工到全部工件都加工完所需要的时间）达到最小。其中，（1）表示工件约束条件：对每个工件而言，机器对它的加工路线是事先确定的；（2）表示机器约束条件：对每台机器而言，一次只能对一道工序进行加工。()

MATLAB中证图像缩放、旋转等对Hu矩和Zernike矩的影响(MATLAB in the card image scaling, and rotation of the Hu moments and Zernike moments of)

本程序适用于论文A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries(this code is for A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries)

用matlab画出剪头的方法，两个点之间的剪头画法(plot arrow using matlab)

pca降维算法，试验已经成功，将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)

this file is about APSARA algorithm