bp神经网络识别数字，可识别0

matlab进行模糊pid仿真的源代码，效果一般，但已在本人毕业论文中实用-pid fuzzy matlab simulation of source code, the effect of the general, but in my dissertation in the practical

Kohonen的SOFM(自组织特征映射)：这种算法部分收到生物特征影响，在网络输出层内按几何中心或特征进行聚类。-Kohonen the SOFM (self-organizing feature map) : This algorithm received some biological features, the output layer to the network within the geometric center or cluster features.

独立成分分析的批数据处理算法JADE,计算量虽然大些，但至今仍被人采用-Independent component analysis of batch data-processing algorithm JADE, although the calculation of the volume, but is still used

遗传优化神经网络结构，C++源代码-Genetic optimization of neural network architecture, C++ Source code

用c语言演绎“生命游戏",本世纪70年代，人们曾疯魔一种被称作“生命游戏”的小游戏，这种游戏相当简单。假设有一个像棋盘一样的方格网，每个方格中放置一个 生命细胞，生命细胞只有两种状态：“生”或“死”。-with language interpretation c Life "game", the 1970s, It had been a crazy demons known as the "Game of Life" of the games, this game is quite simple. Suppose a chessboard like the same grid, each square place a living cell, cell lives only two states : "Health" or "dead."

4。《演化程序――遗传算法和数据编码的结合》，[英]米凯利维兹着 科学出版社 2000年第一版 本书分三个部分共16章分别介绍了:1.遗传算法的概念、数学原理及方法步骤 2.遗传算法和数据编码联系起来所构成的演化程序 3.演化程序面向一些实际问题的应用。 本书语言生动，结构合理，较少使用专业性术语和深涩词汇，适合面临优化问题的研究生、程序员、设计师、工程师及科研工作人员参考。-4. "Evolutionary process-- genetic coding algorithm and data integration," [E] Mikhail Liweici a 520-531 2000 version of the first book in three parts a total of 16 chapters were introduced : 1. Genetic Algorithm concept mathematical principles and methods of Step 2. genetic algorithms and data coding linked posed by the evolution of procedures 3. Evolution-oriented procedures some of the practical problems of application. The book vivid language, reasonable structure, and less use of professional terminology and vocabulary deep acerbic suitable for optimization problems facing graduate students, programmers, designers, engineers and research personnel.

Code for Truth Maintenance System in Artificial Intelligence.-Code for Truth Maintenance System in Artificial Intelligence.

文本分类算法很多，神经网络算法遗传算法可以用，本算法采用支持向量机SVM来实现-Text Classification Algorithm

本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 支持反向传播算法(BP),LBG聚类法和径向基网络(RBF) -This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF)

有关支持向量机的一些用于测试和分类的MATLAB程序 希望对大家有用-Related to support vector machines for testing and classification of some of the MATLAB program useful for all of us hope