利用matlab编写的神经网络算法，经过测试速度快效果好。

神经网络方面源码 神经网络方面源码 神经网络方面源码 -neural network source neur al network source neur al network source aspects source neural network neural network source neur al network source neural network area source

是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包-using MATLAB is a part of a system of various neural network model and I support vector machine packages

基本的神经网络计算TLU，对于所有学习神经归纳的第一个算法来说，单个神经容易做训练，虽然不会有问题的异或解，但它是人类神经史上的第一步。

该程序可以对二维三类样本进行分类，并画出分界面．学习过模式识别的人必看．要学习神经网络的人必看，代码简单，实用性强-the procedure three samples of two-dimensional classification and paint interface. Learning the pattern recognition Watchable. To study the neural network Watchable, code simple, practical

一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.

一个求解TSP问题的例子,用delphi编写.有很好的参考价值 -a TSP example, prepared with delphi. A very good reference value

一种基本的模式识别方法，进行了部分改进，简单实用，采用matlab仿真，经编译后无误。供大家学习参考-A basic pattern recognition methods, partially improved, simple and practical, the use of matlab simulation, as compiled correctly. Reference for everyone to learn

使用java构建神经网络的开源项目教程，是java爱好者学习神经网络的难得教材。虽然是英文教材，但是语言简单，易懂。书中前几章对于神经网络基本原理的讲解十分通俗易懂，利于初学者对相关知识的理解和吸收，即使不是java编程者，也可以从中受益匪浅。 -Using the java open source project to build neural networks tutorial java lovers are rare neural network learning materials. Although the materials are in English, but the language simple, easy to understand. The book for the first few chapters explain the basic principles of neural networks is very user-friendly, which will help beginners to understand and absorb the relevant knowledge, if not the java programmers can also be benefited from.

该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners