神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向...

提供了遗传算法的一些代码库文件，国外下的很有用-provide the genetic algorithm code of the document, the foreign useful

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."

Fuzzy Rule Base Implamentation

曲线的平滑，应用贝塞尔曲线进行平滑，点击要平滑的点即可-With this program you can smooth your data automatically only by selecting the area to be smoothed with 2 clicks. Then INTERP1 is used to smooth. The operation is repeated until you press ENTER.

遗传算法演示程序-GA Demonstration Program

数据挖掘各类代码:Apriori源代码全部-Various types of data mining code: Apriori all source code

机器人路径规划演示平台，自主移动的智能机器人演示程序源代码，可以实现机器人壁障功能-Demonstration platform for robot path planning, intelligent autonomous mobile robot demo program source code, you can realize robot barrier function

这是一个用遗传算法对KDDCUP数据集，实现自动检测的C程序，希望有用。-This is a genetic algorithm with KDDCUP data sets, to achieve automatic detection of the C program, I hope useful.

小波神经网络的MATLAB程序，没有用库函数-Wavelet Neural Network MATLAB procedures, did not use library functions

手写汉字识别 应用SVM和神经网络进行识别,可自行训练-Handwritten Chinese Character Recognition Application of SVM and neural networks to identify their own training