m = 2 for the machine scheduling problems, the optimal solution can be obtained...

遗传算法的原代码，用于最优化计算，只需解压便可使用。-Genetic algorithm source code for the optimization calculation, just unzip to use.

在数字信号处理中实现相关的能够人工智能滤波的功能-To artificial intelligence filtering

自己编写的人工智能小模型，可实现逻辑推理功能

很好用的一个适用程序，由Visual C＋＋编程，有收藏价值

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners

蚁群优化算法,实现人工智能解决TSP问题,如何应用ACO-Ant colony optimization algorithm, the realization of artificial intelligence to solve TSP problems, how to apply the ACO

一个可自我学习的人工智能小模型，可进行训练，也可进行提问。 希望对大家研究人工智能算法上有帮助！-A small self-learning artificial intelligence model for training, but also ask questions. We hope that research on artificial intelligence algorithms help!

EBP反向传播算法对应的源程序，三层网络，分隐层神经元，输出层神经元，输入层神经元的一个基本的程序实现-EBP back-propagation algorithm the corresponding source code, the three-tier networks, sub-hidden layer neurons, output layer neurons, input layer neurons realize a basic procedure

用遗传算法求解背包问题是南京航空航天大学信息与计算科学专业编写的.本程序利用遗传算法来求解背包问题.采用二进制字符串编码,1表示选择物体,0则不选择. 背包问题描述:在M件物品取出若干件放在空间为W的背包里，每件物品的重量为W1，W・2……Wn，与之相对应的价值为P1,P2……Pn。求出获得最大价值的方案。注意：在本题中，所有的重量值均为整数。-genetic algorithm knapsack problem is the Nanjing University of Aeronautics and Astronautics, Information and Computing Science prepared. The procedure the use of genetic algorithms to solve knapsack problem. binary string encoding, an option objects, 0 no choice. Knapsack Problem Description : M items removed several pieces on the space-W backpack, Each of the weight W1, W 2 ... Wn, the corresponding value of P1, P2 ... Pn. Sought to gain maximum value of the program. NOTE : In this issue, all the weight values are integers.

附加了动量项BP神经网络-Additional items of Momentum BP neural network