模式识别――原理、方法及应用

人工智能bp算法程序以及实验报告-bp artificial intelligence algorithms and experimental procedures report

8王后问题的演示程序,算法封装在类GAQueen，演示程序是界面程序-8 queen problem demo program, the algorithm is packaged in a category GAQueen, demo program is the interface procedures

机器人接口程序框架，需要搞机器人的同志不用自己搞框架了-Robot interface program framework, the need to engage in robot comrades do not have to engage in the framework of the

神经网络C程序的第8章-neural network C procedures for the Chapter 8

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

fortran版 神经网络遗传算法-fortran version of neural network genetic algorithm

利用动量梯度下降算法训练BP网络，得到误差显示图，并最终进行预测-Gradient descent algorithm using momentum BP network training, the error display map, and, ultimately, to predict

蚁群算法的演示程序，很形象的说明的蚁群群体合作的智能性，很好的诠释了蚁群算法的精髓-Ant colony algorithm demo program, it is the image of the ant colony that cooperation between the intelligence groups, very good interpretation of the essence of the ant colony algorithm

一段采用BP神经网络算法的欠驱动机械臂平衡控制器的程序-Section of the use of BP neural network algorithm balance the underactuated manipulator controller procedures

用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.