一个支持向量机的工具箱。包括2类分类算法与回归算法。

神经网络算法程序，对数学建模的同学很有用处。谢谢大家喜欢。-Neural network algorithm procedures, mathematical modeling of the students very useful. Thank you all like it.

专业介绍svm算法的书籍，适合有高等数学，线性代数，矩阵论，和数里统计基础的读者，他是一本全面介绍svm的书籍，从数学基础到应用，是svm学习者的一本好书。-Introduction SVM algorithm professional books, suitable for advanced mathematics, linear algebra,矩阵论, and several readers in the statistical basis, he is a comprehensive introduction to SVM books, from mathematical foundations to applications, is an SVM learner Good Books.

这是一个研究人工智能中蚂蚁算法的研究性文档,对想了解这方面内容的人相当有益,很难才找到的-This is a study artificial intelligence ant algorithm research documents, to think about it as a very useful one, it is difficult to find the

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages-The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages

一个对初学者非常实际非常方便的矢量量化的C语言实现 ,值得-one pair of very real beginners very convenient vector quantization C language, it is worth a look at

Tutorial On Fuzzy Logic

为模型参数中的动静比例知道的情况 属于一种新的模型 - The situation knew which for the model parameter in sound of something astir proportion belongs to one kind of new model

传算法伪代码实例，遗传算法中最重要的过程就是选择和交叉。 -Examples of pseudo-code algorithm, genetic algorithm is the most important process of selection and crossover.

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

LS-SVM_UserGuide是LS-SVM使用方法介绍的一篇文章，竟对我们学习支持向量机有很大的帮助。-LS-SVM_UserGuide is the use of LS-SVM method described in an article we had on the support vector machine learning of great help.