linewithhough

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 .)

基于高斯过程的约束谱聚类，lu zhengdong的论文cvpr08的实现代码，算法可以直接运行，其中含有两个demo(constrained spectral clustering through affinity propogation)

this program estimate cumulant order (6,0) for mqam modulation and plot them

fft_cos_sin系数生成表，测试用，由他人提供的()

模拟退火算法的matlab程序，用于解决tsp问题，运行通过。(simulated annealing algorithm Matlab procedures for the settlement tsp, running through.)

truetime 安装包及其说明，作为matlab的工具箱，用来处理网络问题(TrueTime installation package and basic introduction, as the Matlab toolbox, used for real-time simulation network)

MATLAB,VB做成的神经网络计算程序(MATLAB, VB caused by the neural network program)

卡尔曼滤波应用 通过卡尔曼滤波跟踪移动中的目标(Kalman filtering applications through the Kalman filter tracking moving target)

DWT is any wavelet transform for which the waveletsDaubechies wavelets are discretely sampled. The code uses

基于最小二乘支持向量机的短期电力负荷预测GUI界面设计，可以参考学习(the Forecasting of Short-term Power Load of GUI design.)