我用准备好的BP神经网络算法的内部函数MATLAB，利用技术。

这是蚁群算法的一个模拟的软件,可以看到整个蚁群觅食的具体过程,对算法的理解很有帮助.-This is the ant colony algorithm, a simulation software, can see the whole ant colony foraging specific process, the understanding of the algorithm very helpful.

本压缩软件有vc++图象处理编程的源代码，相信会对从事图像处理的各位有所帮助- This compression software has the vc imagery processing programming the source code, believed can to be engaged in picture processing each position to have the help

贝叶斯网络分类器的一点小程序，也许有用，请各位资源下载-Bayesian Network Classifier for small procedures, may be useful, please download resources

本人用matlab内部函数编写的BP神经网络算法实现，采用目前最先进和流行的LV算法，速度很快，效果很好-I use the internal function matlab prepared BP neural network algorithm, using the most advanced and popular LV algorithm, fast, good effect

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

编写的BP算法的软件模拟 在Turbo c++3.0环境下编译通过-prepared by BP algorithm in the software simulation 3.0 Turbo c compiler environment through

Neural Networks ，8种神经网络，BP，RBF，CPN等通过VC++来实现了！-Neural Networks, 8 Neuro network, BP, RBF, CPN, such as through VC++ To achieve!

CMAC小脑模型神经网络的具体实现算法。-CMAC cerebellar model of neural network algorithm for concrete realization.

这是一个模式识别中的parzen窗的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model has very big help.

一个牛人的神经网络支持向量机代码,对于搞模式识别的朋友强烈推荐!-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .