这是cmu大学的一个研究小组编写的神经网络中反向传播算法的源代码，很有参考价值。...

采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题，其参数如下： 初始温度：t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the parameters are as follows : initial temperature : t0 = 280, each a fixed temperature of the iteration number L = 100n, temperature attenuation coefficient alpha = 0.92 algorithm to stop the criteria when two adjacent the temperature change was very Solution Algorithm stop.

运用遗传算法对交通流进行分配-use of genetic algorithms on traffic flow distribution

粒子群寻优算法源程序，采用VC+=编写， 比较好用。-Particle

采用C编写的BP神经网络一个程序，请提意见-with C BP prepared a neural network procedures, please comment

基于感知器神经网络处理复杂的分类问题-based perceptron neural network to handle complex classification problems

找出输入txt文件中出现的不同词汇，统计各词数目并按数目排序。使用hash表提高新词插入词表速度。-Txt file to find enter appear in a different vocabulary, the number of statistics in accordance with the number of words to sort. Use hash table to insert new words to improve the speed of the word table.

模拟退火算法求解经典图论中的图着色问题的源程序-simulated annealing algorithm classic graph coloring map of the source

本程序是人工编写的bp神经网络，针对识别样本btw三类进行训练和识别。-This procedure is prepared bp artificial neural networks, btw samples for identification of three types of training and identification.

PID控制已经广泛的用于工业生产，但是对于PID参数的获得一直是该控制的难点。本例子为对PID控制有兴趣的人提供一种参考，该PID控制采用遗传算法。-PID control has been widely used in industrial production, but the PID parameters for the control of access has been difficult. The examples of PID control for those who are interested in providing a reference, the PID control using genetic algorithm.

c语言版基本粒子群算法源程序-c-language version of elementary particles algorithm source code