nuralnetwork using back propegation and genatic algorithm implementation

pazen window分类器， 在模式识别课学到的，自己写的一个小程序-pazen window classifier, pattern recognition lesson learned, to write a small program

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."

VC++ 遗传算法 VC++ 遗传算法 VC++ 遗传算法-VC++ Genetic Algorithm

这是我自己花了很多时间写的一个BP神经网络类，里面封装了网络初始化、训练、分类等功能。奉献出来与感兴趣的朋友分享，绝对可靠。-that I spent a lot of time writing in a category BP neural network inside the network initialization package, training, classification capabilities. Dedication out with friends interested in sharing, absolutely reliable.

遗传算法实用程序5（pascal)-GA Utility 5 (pascal)

粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks

基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用-Elman neural network based on the step response of the dynamic compensation can be applied to an example of the Elman network other applications

几篇关于混合遗传算法方面的好文章。-few mixed genetic algorithm on the excellent article.

人工神经元的bp算法，可用于函数拟合，时间序列数据的预测，目前应用非常广泛-artificial neurons bp algorithm can be used to function fitting, time series data estimation, is widely used

基本遗传算法的源代码，比较各代种群的进化。-The basic genetic algorithm source code, comparing the generation of species evolution.