GOLD-CODE-_pnseq

一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。(SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.)

说明：  详细给出floyd、dijkstra算法，并给出具体例子以及如何看运行结果。所有程序均通过真实测试。(Details are given floyd, dijkstra algorithm, and gives specific examples and how to look at the results. Through all the procedures are the real test.)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

通过分形维数函数，提取数据特征并画出曲线，程序可以直接使用(By fractal dimension function, feature extraction data and draw the curve, the program can be used directly)

To design a high pass Filter using Blackman window matlab code with example

说明：  用Matlab实现蒙特卡罗模拟的源程序,(Monte Carlo simulation using Matlab realization of the source,)

说明：  bp神经网络算法的matlab源代码，挺有用的。(bp neural network algorithm matlab source code, quite useful.)

matlab related prgrams

移动机器人的运动轨迹跟踪的滑膜控制器matlab仿真设计(Mobile robot trajectory tracking controller matlab simulation design synovial)

这个是用于01背包问题的测试数据，很多论文都用这其中的数据集来测试(This is a knapsack problem for the 01 test data, a lot of papers with which the data set to test)