piliangxianshituxiang

rbfnn算法用于长期预测，效果较好。rbfnn算法用于长期预测，效果较好。(rbfnn algorithm for long-term projections, the effect is better. rbfnn algorithm for long-term projections, the effect is better.)

Transfer Matrix Optical Modeling

three level diode clamp inverter simulink file

生成FPGA编程中rom初始化需要的.mif文件。生成的为1/4周期正弦波数据。宽度为8，深度为1024(Generate FPGA programming rom initialization required. Mif file. Generated 1/4 cycle sine wave data. Width is 8, a depth of 1024)

说明：  这是建立F16的非线性simulink模型，并且包含数据(This is the establishment of nonlinear simulink model F16, and includes data)

说明：  基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。(Histogram based on image texture features were extracted, according to the four GLCM texture descriptors obtained.)

说明：  这个程序是我自己编写的小车倒立摆经典PID控制和模糊控制matlab程序，相信对初学模糊控制的朋友有不小的帮助，包含传统PID控制和模糊控制的对比，是一份内容详细的完整报告(This program is written in my own car classic inverted pendulum PID control and fuzzy control matlab program, I believe beginner friends of fuzzy control no small help, with the traditional PID control and fuzzy control of contrast, is a complete and detailed report of)

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 .)

说明：  comsol 案例，值得拥有，微纳光力案例(Comsol case, worth having)

TV最小化模型的一个算法，以及相应的应用程序(An Algorithm for Total Variation Minimization and Applications)