有关RBF的参考文献，希望能够给你带来一定的帮助

一个简单的飞行射击类游戏,使用Visual C++引擎开发,已编译.-A simple flight shooting games, the use of Visual C++ Engine development, has been compiled.

Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.

SVM程序,以方便大家来使用，仅供参考fgawgagssag gwgragha ghewrag ghwaweg-svm programe ,for everyone can get this and gag gwe gwega gwega gwerga

神经网络的运用，比较基础，对初学者比较有用-The use of neural networks, basis of comparison, more useful for beginners

基于《知网》的词汇语义相似度计算Final.doc-Based on the " HowNet" the vocabulary of semantic similarity calculation Final.doc

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

人工智能小模型，货郎担问题，一个简单的 实例-Artificial intelligence model:a simple instance of goods selling burden problem.

利用C＋＋语言开发的BP算法，并将其封装在类中，用户可以自己设定参数，实现对BP网络的训练。-use C++ language BP algorithm, which is encapsulated in class, users can set their own parameters to achieve BP network training.

简单的遗传算法的例子,对于遗传算法的初学者来说非常有用.-Simple genetic algorithm examples.it very helpful for the beginners of genetic algorithm

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