GA(c++)

新英格兰10机39节点系统，用于电力系统仿真(New England 10-machine 39 node system for power system simulation)

Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.

遗传算法交叉操作的改进——系统工程与电子技术.pdf(genetic algorithms to improve the operation of cross--- Engineering and electronic technology. Pdf)

本课程是航空航天类院校本科飞行器设计与工程专业教学计划中的一门技术基础课。为飞行器设计与工程专业学生的必修课。本课程的目的和任务是使学生掌握流体力学基本知识和空气动力学的基本概念、基本理论，以及解决空气动力学问题的基本方法和分析手段。本课程的内容可分为两大部分：低速空气动力学和可压缩空气动力学，包括了空气动力学的基本概念、低速流动和可压缩无粘流动的基本原理、绕翼型和机翼的不可压缩流动的薄翼理论和有限翼理论、激波理论、翼型亚音速和超音速线化理论及应用等。(This course is a class of undergraduate aerospace vehicle design and engineering teaching program in a technical basic course.)

Xbee API Frame CheckSum Calculte

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

基于windows的任务管理器开发设计 windows task mananger(Based on the windows task manager development and design windows task mananger)

模糊pid有效的对控制对象进行了控制，减少超调和响应时间(fuzzy PID control)

matlab coding for coverting foirm RGB to LAB colr space.

hartley and colpitts oscillator c program