目前开发人工只能的朋友一定会遇到bp算法中八进制的问题，这段程序很好的解决了这个问题。我目前在作模糊控制，神经网络，遗传算法的课题，收集了很多相关程序，望同方向...

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.

一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.

产品设计时间智能预测方法的研究，值得借鉴一下-product design time intelligent prediction method of research, worth learning about

基于点轨迹的手势识别.鼠标右键点击开始记录鼠标轨迹,基于记录的轨迹,利用神经网络算法进行识别.-Trajectory based on the point of gesture recognition. By right-clicking the mouse to start recording the track, based on track record, the use of neural network algorithm to identify.

一种新型径向基神经网络，里面有具体的程序，希望对大家有用-A novel RBF neural network, which has the specific procedure, in the hope that useful to everybody

关于细胞自动机的例子，希望有志于这领域的同仁研究-on Cellular Automata example, are interested in this area of research colleagues! !

简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum

行人模拟，开源的程序，对行人模拟的可以联系我，mjliao@163.com-pedestrian simulation, revenue procedures, simulated pedestrians can contact me, mjliao@163.com

模式识别的中科院的课件，对学习或考试都很有帮助-Pattern Recognition, Chinese Academy of Sciences of the courseware, learning or examination are helpful

使用遗传算法训练的神经网络VC++源代码，经测试，该算法有效。- The use heredity algorithm training nerve network VC source code, after the test, this algorithm is effective.