MPC

蒙特卡洛模拟法是当系统中各个单元的可靠性特征量已知，但系统的可靠性过于复杂，难以建立可靠性预计的精确数学模型或模型太复杂而不便应用则可用随机模拟法近似计算出系统可靠性的预计值。随着模拟次数的增多，其预计精度也逐渐增高。由于需要大量反复的计算，一般均用计算机来完成。本文件用来求解医院排队论问题(Monte Carlo simulation when the system reliability characteristics of each unit volume is known, but the reliability of the system is too complicated, difficult to establish accurate mathematical model of reliability prediction models are too complex or inconvenient applications are available stochastic simulation method to approximate calculation the expected value of system reliability. With the increase in simulation times, which is expected to gradually increase precision. As the need for a large number of repeated calculations, generally using the computer to complete. This document is used to solve the problem of queuing theory Hospital)

MATLAB几何变换，可以方便了解到所变换的几种形式(MATLAB geometric transformations, you can easily understand the transformation of several forms)

完成进行三段式充电仿真，模拟电池充电过程，实现充电管理(to carry on charging as to simulate battery to charge)

傅立叶变化的Matlab实现，对于学习FFT非常有帮助。FFT文件夹内有多个程序。(Matlab Fourier realize change, for learning FFT very helpful. FFT folder has a number of procedures.)

非常好而且比较经典的批处理最小二乘参数估计算法。(Very good and classic batch least squares parameter estimation algorithm.)

matlab2013b，欢迎下载，里面有下载网址，及破解文件！！！(matlab2013b, welcome to download, download URL, and crack file! ! !)

MUSIC AND VOICE SEPARATION FOR DIFFERENT PITCH. SUBMITTED PARTIAL CODE

color image segmentation

城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经 网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim- ulation using the GA2WNN prediction model demonstrates the validity of the model .)

bearing fault matlab codes