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改进遗传算算发，MATLAB，收敛快，精度高，效果不错，适用于近似求解和NP难问题(Genetic calculate fat, MATLAB, convergence, high precision, good results for NP hard problem to solve and approximate)

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 .)

压缩感知的一种重构算法，此方法比OMP算法性能更好(Compression perception of a reconstruction algorithm, this method is better than the OMP algorithm performance)

MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX，带有matlab仿真例子，学习控制的很有借鉴意义(MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX, with matlab simulation example, the study of referential significance to the control of)

这是CDMA信道的matlab仿真-AWGN多径衰落信道(This is the CDMA channel Matlab simulation-AWGN over Fading Channels)

MATLB7.0遗传算法工具箱压缩文件，包括遗传算法函数，实例(MATLB7.0 genetic algorithm toolbox compressed file, including the genetic algorithm function instance)

基于PSO的多目标优化问题，两个目标函数，一个公共变量的问题(PSO )

说明：  机械故障诊断方法，包含小波分析，小波包分析，支持向量机等多种分析方法程序。(Mechanical fault diagnosis methods, including wavelet analysis, wavelet packet analysis, support vector machine and other analysis methods.)

M-PSK的MATLAB代码。MPSK,MATLAB代码(The MATLAB M-PSK code. MPSK, MATLAB code)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.