一个简单实用的K紧邻分类器

用C撰写遗传基因法-C genes written law

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets

knn算法的实现，框架十分清楚。是经典的东西-KNN algorithm, the framework is very clear. Is a classic East-West

经典算法应用：神经网络算法的一个实际应用-Application of the classical algorithm: neural network algorithm, a practical application

The code on this diskette has been organized by chapter. Each subdirectory containing listing has a readme.txt describing program usage and any relevent file formats. The readme will also describe how to compile the target programs under IBM OS/2 (TM) using the using C Set++ compiler (TM). All programs on this diskette have been compiled and tested in this environment. The majority of programs on this diskette should port to other environments with only minor adjustments. The exception to this are those programs which utilize presentation manager for graphical display of program data. In particular, the grid1 programs in chapt4ackprop and chapt3 fall into this latter category.

这是用Fortran实现的bp算法程序，供大家自学参-This is achieved using Fortran bp algorithm, for your self-Participation

The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.

这是一个用vb写的TS算法，可以提供初学者尝试

有关bp神经网络预测的-bp of the neural network forecast

matlab中运行-matlab run