支撑向量机算法的一种改进算法，是基于增量学习的算法

神经网络模拟正弦函数演示-neural network simulation sine function demo

神经网络中学习矢量量化模型算法的源程序，属于有导师学习！-Neural network model of learning vector quantization algorithm source code, which has instructors to learn!

这是一个朋友做的人脸检测软件，是基于OpenCV 做的，很具有参考价值-This is a friend to do face detection software is based on OpenCV do, it is very valuable reference

关于多目标规划的算法，是个好东西，快来下载吧-On the multi-objective programming algorithms, is a good thing, Come to download it

一种基于蚁群算法的聚类组合方法，具体可以查看里面书的内容。-ant colony algorithm based on the combination of clustering methods, the specific can view the contents inside.

用贪心法解决TSP问题.输入数据可求得所要的最值的结果.-greedy algorithm used to solve TSP. Input data can be obtained by the most value to the results.

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

蚁群算法上传一个文件这么复杂啊？生命在长期进化过程中，积累了很多新奇的功能，人类很早就从中得到启发而改进自己的工具，如史书中记戴“见蓬转而做车辑”，传说鲁班被茅苇划破，而发明锯子……也许早先的发明,只是偶然的模仿和发现,后来人们已有意识地进行这方面的研究,这就是“仿生学”。仿生学顾名思义就是模仿生物的某些功能的学问。有名的例子很多，如模仿海豚皮而构造的“海豚皮游泳衣”、科学家研究鲸鱼的皮肤时，发现其上有沟漕的结构，于是有个科学家就依照鲸鱼皮构造，造成一个薄膜蒙在飞机的表面，据实验可节约能源3%，若全国的飞机都蒙上这样的表面，每年可节约几十亿。又如有科学家研究蜘蛛，发现蜘蛛的腿上没有肌肉，有脚的动物会走，主要是靠肌肉的收缩，现在蜘蛛没有肌肉为什么会走路？经研究蜘蛛不是靠肌肉的收缩进行走路的，而是靠其中的“液压”的结构进行走路，据此人们发明了液压步行机……总之,从自然界得到启迪, 模仿其结构进行发明创造.这就是仿生学. 这是我们向自然界学习的一个方面.另一方面,我们还可以从自然的规律中得到启迪,利用其原理进行设计(包括设计算法),这就是智能计算的思想.-Ant Algorithm upload a document so complicated ah? Life in the long evolutionary process, the accumulated growth of many functions, from very early human to be inspired to improve their own tools, such as history books remember wearing "See Peng turn out of the car series," Mao legend Luban Reed was scratched, and the invention saws ... perhaps earlier invention, only occasionally parody and found that there was awareness of the people to carry out this kind of research, and it is a "bionics."

蚁群算法的C++实现,让读者更清晰的了解蚁群算法的完整思路-Ant colony algorithm C++ Realize, to give readers a clearer picture of the integrity of the idea of ant colony algorithm

这是台湾张智星的模式识别的课件的源码，包括GMM和data clusting-This is the star pattern recognition Zhang Zhi courseware source, including the GMM and data clusting