Neural Network Based Speech Recognition Technology based on neural network speec...

matlab在神经网络中的一些界面函数-Matlab in neural network interface function of

一类球型分布问题的实现-a ball-type distribution of achievement

BP神经网络解决异或问题.模式识别常见问题解决-BP neural network to solve XOR problem. Pattern Recognition common problem-solving

打开压缩包，其中的word文档中提供了“m个工件分配给m架机床的效益最优化问题，使用一种遗传算法解决。”的整个编程思路和过程分析。望有相关需要的朋友喜欢-open compressed, the word document provided "m m allocated to the workpiece-machine efficiency optimization, the use of a genetic algorithm to solve." The entire programming ideas and process analysis. Expect relevant to the needs of friends like

Java遗传算法库-Java genetic algorithm library

1、编制程序显示印章图像（24位真彩色位图）； 2、读出位图中每一像素点的（R，G，B）样本值； 3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布； 4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分） 5、将分类后的结果标记到原始图像上，检查其效果。 -1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.

Simon Haykin的 《Neural NetWorks》例子原码，相当经典。相信很有用，特别SVM PCA等-Simon Haykin "Neural NetWorks" examples of the original code, very classic. I believe very useful, especially in such SVM PCA

用MATLAB语言编写。三十三座城市的蚂蚁算法。解决TSP问题。-Used MATLAB language. 33 cities in the ant algorithm. Solve the TSP problem.

最短路算法：基于遗传算法的一种最短路的MATLAB程序。-Shortest Path Algorithm: Genetic Algorithm Based on one of the most short-circuit the MATLAB program.

真正可以用的匈牙利算法 我校赛的时候用过 很不错 不过写的不够简洁-Really can use the Hungarian algorithm school tournament when I used is pretty good but not enough to write a concise