cetin_DSS04

M file for Inverted pendulum

This Project distinguish between inrush currents and internal faults in the protection of power transformers with Emtp Program And Matlab Code. Simple Methot is used in Project.

主要介绍主分量分析，怎样提取主要特征来重构原始信号。(Introduces the principal component analysis, extracting the main features of how to reconstruct the original signal.)

两个数值实验的matlab编程实现。题目分别1是利用循环语句，计算数列根号5 ，根号下根号5 ，根号下根号下根号5…的极限，要求误差小于 10负8次方。 2利用级数pi=1-1/3+1/5-1/7+...可计算出无理数pi的近似值(Two numerical experiments matlab programming. Title 1 is the use of loop were calculated series roots and 5, roots and root number under 5, roots and root, root number under number 5 ... the limits of error of less than 10 required a negative 8th power. 2 using series pi = 1-1/3+1/5-1/7+ ... calculate the approximate irrational number pi)

三维有限时间差分法计算矩形谐振的例子编程(three-dimensional finite-difference time rectangular resonant examples of Programming)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

顺序浮动向前选择：选取特征中影响系数较大的特征。(The order of floating forward options: select characteristics influence coefficient larger feature.)

本程序用matlab编写，采用MAPSO来求解IEEE标准40节点电力负荷分配问题(The program written using matlab MAPSO to solve the 40-node IEEE standard power load distribution)

基于CIODs的空时分组码编译码过程，及误比特率曲线的仿真(Based CIODs of space time block code encoding and decoding process, and simulation of bit error rate curve)

基于随机频率的灵巧噪声移频干扰的matlab实现(Implemented based on the the smart noise meter of random frequency shift matlab frequency interference)