模糊PID控制的一个例子，在Visual C++通过

基于RBF网络的机器人手臂运动关节的仿真实例。利用RBF网络实现机器人手臂运动关节的仿真实例建模。-RBF network based on the movement of the robot arm joint simulation. RBF network using the robot arm joint movement simulation modeling.

ID3算法的另一种用java实现的代码，利用向量。-Another ID3 algorithm realize with java code, using vector.

解非线性规划模型的遗传算法，采用visual c++语言编写，结构清晰，明了易懂，注释完整-Genetic Algorithm for nonlinear programming

BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping

神经网络中自适应谐振理论模型实现的C语言源程序！-Neural network adaptive resonance theory model of the C language source code!

人工智能动物推理系统程序-animal AI reasoning system procedures

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

经典的SOM人工神经网络例子源码-classic example ANN FOSS

遗传算法 算法实例MATLAB程序，包括了：选择 变异 交叉 遗传算子-GA

详细的介绍了匈牙利命名法，利于我们的代码规范-Detail the Hungarian naming method, the code will help us standardize the