The package contains three functions, one for the establishment of BP neural net...

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.

实现了一般表达式的合一算法（采用最一般合一求取方法）-achieve a general expression of unity algorithm (to use the most general strike Ecumenical methods)

自适应共振神经网络可以实现自动学习与分类具有自适应的功能-adaptive resonance neural network can automatically learning and classification of adaptive function

matlab中遗传算法的例子，希望对大家有用呀-Matlab genetic algorithm example, we hope to useful! !

有关遗传算法的原理与应用 不错啊分享一下啊-On Theory and Application of genetic algorithms to share a good ah ah

一个非常好的，用于训练样本图像的代码。 一定可以运行。-A very good image for the training sample code. Will be able to run.

生产线上的上车数量注册软件的部分源代码，用于注册杭车数量，以便进行自动控制-The production line picking up the number of registered software, part of the source code used to register Hang cars for automatic control

Fisher线性判别分类器应用于IRIS数据集的例子-An example of Fisher linear discriminant Classifier applied on IRIS Data Set

9。《遗传算法原理及应用》，周明，孙树栋编着 国防工业出版社 1999年第一版 本书全面系统的介绍了遗传算法的基本原理、数学基础、各种主要实现技术，并给出了一些应用实例，同时还简单的介绍了进化计算的基本内容。本书具有系统性强、可读性强、可操作性强的特点。本书可供智能计算、自动控制、系统工程、优化计算、经济管理、运筹学、计算机等专业的研究人员、研究生、高年级大学生参考。 -9. "Genetic Algorithm Theory and Application", Zhou, Sun Shudong compile defense industry publisher in 1999 the first book version of the comprehensive and systematic introduction to the genetic algorithm to the basic principles mathematical basis, the major techniques, and gives some examples, also introduced a simple evolutionary computation of the basic elements. The book is systemic strong, readable, and it can be operational characteristics. The book smart, automatic control, systems engineering, optimization, economic management, and operations. computer and other professional researchers, graduate students and students of high-grade reference.

人工神经网络基本模型：BP、ART、Hopfield、SOM-ANN basic model : BP, ART, Hopfield, SOM