duanlufangzhen

PID SYSTEM SIMULATION

matlab讲座,跟数学建模相关，应该很有用吧 (Lecture of matlab，relating to mathematical modeling, hope it useful)

基于Matlab的object tracking的一个小程序(A small program about object tracking based on the matlab )

基于K均值的PSO聚类算法,通过虚拟阵元进行DOA估计，包含CV、CA、Single、当前、恒转弯速率、转弯模型。( K-means clustering algorithm based on the PSO, Conducted through virtual array DOA estimation, It contains CV, CA, Single, current, constant turn rate, turning model.)

This is PN code with matlab it s easy. enjoy a this source

说明：  本MATLAB例程，为通过遗传算法的思想来解决f(x)=x*sin(10pi*x)+2.0,-1<=x<=2的最大值问题。(The MATLAB routines for the adoption of the idea of genetic algorithm to solve f (x) = x* sin (10pi* x)+ 2.0,-1 )

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

pplane8 is an interactive tool for studying planar autonomous systems of differential equations. When pplane8 is executed, a pplane8 Setup window is opened. The user may enter the differential equation and specify a display window using the interactive controls in the Setup window. Up to 4 parameters may also be specified. In addition the user is give a choice of the type of field displayed and the number of field points.

计算图像峰值信噪比psnr的matlab源程序,相对路径转绝对路径的matlab程序(computing image PSNR psnr the Matlab source, relative to the absolute path of Matlab procedures)

第一个是标准差，用于算数学模型均值，评价模型的平均量 第二个熵，用于评价信息量的大小，熵越大信息量越大。 第三个用于pcnn模型,评价是否接近理论模型,残差越小，就越接近理论模型(The first is the standard deviation, the mathematical model is used to calculate the mean, the average amount of uation model. The second entropy, to uate the size of the amount of information, the greater the entropy the greater the amount of information. The third for PCNN model, uation is close to the theoretical model, residual error is smaller, the more close to the theoretical model)