基于FIR神经网络的非线性盲信号分离

非线性程序之模式识别与控制系统设计.-nonlinear pattern recognition procedures and control system design.

关于模式识别的经典书籍，英文版的，很值得看-On Pattern Recognition classic books, in English, is worth look

用C语言实现的BP网络的程序,严格按照BP的算法流程,开发环境为WIN-TC-C language of BP procedures in strict accordance with the BP algorithm. Development Environment for the WIN-TC

另一个遗传算法程序-Another genetic algorithm program

遗传算法求解最优解求函数的最大值 : f(x,y)=21.5+x*sin(4*PI*x)+y*sin(20*PI*y) | 定义域 D: -3

对于具有一定规模的TSP问题的求解，至今没有较完善的求解办法。本程序是用遗传算法来求解TSP问题。-for a certain size of the TSP solution and there has been no better way to solve. This procedure is used genetic algorithms to TSP.

神经网络C程序的第9章-neural network C procedures for the Chapter 9

人脸检测代码示例系统.rar 希望对大家有所启发。-Face Detection System code examples. Rar we hope to inspire.

University of Amsterdam的2003年robocup源程序代码，队名trilearn，老牌2D强队-University of Amsterdam

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.