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模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.-FNN using Matlab programming o install NEFCON follow these steps : 1. Unpack the tar file NEFCON.TAR MATLAB into your working directory : tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.

该算法经运行，无任何问题，可用于解决遗传算法求解车辆路线问题-The algorithm by running without any problems, can be used for genetic algorithm to solve Vehicle Routing Problem

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad

Joone神经网络开源－－框架完全手册，但是，是英文的。不过很值得一看，-Joone neural network revenue- the framework of full manual, however, is English. But it is worth a visit,

清华仿真机器人2002年源码.rar。可以从下面这个网址找到更详细的内容。 http://www.lits.tsinghua.edu.cn/robocup-Qinghua robot simulation source code in 2002. Rar. From below the site to find more details. Http://www.lits.tsinghua.edu.cn/robocup

This a SVM light for those who want to learn how Support Vector Machine work-This is a SVM light for those who want to learn how Support Vector Machine work

中文分词

用BP神经网络进行对啤酒质量的识别，各个参数可以自己进行修改。-Using BP neural network to identify the quality of beer, all parameters can be modified.

遗传算法，是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法.遗传算法是一类可用于复杂系统优化的具有鲁棒性的搜索算法-Genetic algorithm, is a simulation of Darwinian natural selection to genetic selection and biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search methods. Is a kind of genetic algorithm can be used for optimization of complex systems is robust The search algorithm

本程序是使用一种遗传算法解决m个工件分配给m架机床的效益最优化问题，-this program is to use a genetic algorithm to solve m m allocated to the workpiece-machine efficiency optimization,