普通的pid控制数字化，可以使用效果好

利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）-Fisher classifier using the data classification, and face painted in decision-making (including test data)

基本bp神经网络算法和改进型bp神经网络算法都是我改写完成的算法，是网上到处传播的一个c++ bp神经网络算法改写的，由于网上的那个算法编译会出现若干百个错误，在其基础上重新编写和改进，写出了这两个算法-bp basic neural network algorithms and improved neural network algorithm bp I are complete rewrite the algorithm, the Internet is spreading everywhere, a c bp neural network algorithm rewrite the Internet that the algorithm will build several hundred mistakes, on the basis of its rewrite and improve, and wrote a This algorithm 2

根据人工智能的模糊理论编写的温度控制程序，实现对温度的模糊控制-under artificial intelligence theory of fuzzy prepared by the temperature control process, the temperature of Fuzzy Control

遗传算法和神经网络的结合应用，通过Visual C++环境来实现该功能，使计算能力更强-Genetic algorithms and neural networks combination of applications, through the Visual C++ environment to achieve this feature, so that more computing power

使用C语言实现神经网络算法，针对BP神经网络的特点进行设计和开发，具有比较好的性能-use c language to develop neural network,good to use.

遗传算法的源程序，对于初学者有很大帮助，建议多-Genetic algorithm source code, are very helpful for beginners, the proposed multi-

将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.

A星算法实现最短路径的选择,使用方便，功能完善，是学习人工智能作业中必须完成的一步。-Choose the shortest path by the method of AStar

这是一个支持向量机的工具，可以实现分类功能-This is a support vector machine tools, can achieve a functional classification

RBF算法matlab工具箱,里面有详细的说明文档.-RBF algorithm matlab toolbox, which has detailed documentation.