IbrahimTimeDomainMethod

SVM_for_classficationS200502106 SVM用于模式分类 matlAB实现(SVM_for_classfication S200502106' SVM for pattern classification matlAB achieve)

利用matlab编写的粒子滤波程序，能够对学习matlab有所帮助。(Prepared using particle filter matlab program, matlab can be helpful in learning.)

科学计算和工程中常会产生大量的离散数据，提供绘制这些数据并以图形的形式显示出来。(允许输入拉丁字符的拼音 请键入文字或网站地址，或者上传文档。 取消 Kēxué jìsuàn hé gōngchéng zhōng chánghuì chǎnshēng dàliàng de lísàn shùjù, tígōng huìzhì zhèxiē shùjù bìng yǐ túxíng de xíngshì xiǎnshì chūlái.将中文译成英语Central Standing Committee of scientific and engineering calculations produce a large number of discrete data, mapping data and provides graphical form displayed. )

Here s a sample kernel module showing the use of return probes to report the return value and total time taken for probed function to run.

Itti算法和他的文章。Itti提出的显著图模型是一种模拟生物体视觉注意机制的选择性注意模型,比较适合处理自然图像。(Itti algorithms and his article. Itti saliency map model proposed is a simulation of selective attention model organism visual attention mechanism, more suitable for processing natural images.)

该程序利用希尔伯特变换求解心音信号的包络(hilbert envelope)

说明：  遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图 Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图 Y3p 最优方案中，各工件各工序使用的机器编号 Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1，各代最优个体适应值的记录 LC2 收敛曲线2，各代群体平均适应值的记录 最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）(Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict)

Boundary Layer for laminar powerlaw fluid

unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox

这一文件对于学习神经网络、支持向量机（svr）的同仁们会有很大的帮助。(This document for learning neural networks, support vector machines (svr)colleagues will be very helpful.)