systemview

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 .)

最优状态估计，包括卡尔曼滤波、H_inf、UKF(optimal state estimation)

converting musical entrument sound to anyother

matlab code for fisher

数字全息的波前记录和波前再现模拟~为了毕业设计制作的(Recording and reconstruction of digital holography,for graduation.)

Particle Swarm Optimization Protocol

灰色预测模型，可用于预测未来能源消费的需求量。(Gray prediction model can be used to predict future demand for energy consumption.)

使用matlab编写了SOM算法的实现过程，包括训练过程代码，代码简洁，运行稳定。(Matlab prepared using SOM algorithm implementation process, including the training procedure code, the code is simple, stable operation.)

GMM工具箱，第二部分。包含GMM建模的各种函数。(GMM toolbox, part II. GMM modeling contains a variety of functions.)

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY)