Voltage regulation simulation software may biggest transmission power

这是一个支持向量机的工具，可以实现分类功能-This is a support vector machine tools, can achieve a functional classification

遗传算法方法，步骤，实例。详细，有实例，很不错。-Genetic algorithm methods, steps, examples. Detail, there are examples of very good.

遗传算法的讲义！- Heredity algorithm printed lecture!

用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.

利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2*** x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding value of x, algorithm using binary encoding, using different cross-cross and advantages of crossover and mutation at the two without variation and variation advantage

C均值法，用于模式识别中的聚类算法。非常好用！-C- Means method for pattern recognition algorithm for clustering. Very handy!

神经网络与遗传结合算法-neural networks and genetic algorithms combine

lzb的程序示例,方便修改,适合初学者使用!-lzb sample procedures to facilitate the modification, suitable for beginners to use!

计算机网络经典算法：生产者与消费者问题的源代码-classic algorithm of computer network:producer and consumer

L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space.