产生应用区系统中的噪声可以改变其分布的

PUMA560机器人正解程序包含六个关节，计算时只计算前三个关节-Positive Solutions PUMA560 robot contains six joints, the calculation only the first three joints

背包问题算法解决-Knapsack Problem Solving

这是一个利用Visaual C++完成的基于神经网络方法的专家系统源代码-This is a use of Visaual C++ Completion method based on neural network expert system source code

基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer t

神经网络的开发包，采用c++编写的，使网络资源，大家共享-neural network development kits, prepared by the use of c, network resources and share

用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。- Solution 0/1 knapsack question heredity algorithm procedure source code realizes which with the GAlib storehouse.

几篇关于混合遗传算法方面的好文章。-few mixed genetic algorithm on the excellent article.

自适应共振理论（ART）-Adaptive Resonance Theory (ART)

水木清华BBS精华区－－人工智能 涉及了人工智能的多个方面问题-Shuimu Tsinghua BBS essence District-- AI Artificial Intelligence involves a number of aspects

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.