The system is extremely easy to use, even if you have to various network model i...

C++ 基于神经网络 法的数字 识别代码-C++ Based on neural network digital identification code

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions

BP人工神经网络算法，用java代码实现，用scilab图像显示，案例是港口吞吐量的预测-BP artificial neural network algorithm, using java code, using scilab image display, case is the throughput of the port prediction

MILK 提供了一个实现和比较multi-instance学习算法的环境，基于weka机器学习系统（本站可以下载）-MILK provides a comparison and achieve multi-instance learning algorithm, based on machine learning system weka (site can be downloaded)

本人的模式识别课程VC源程序-my pattern recognition programs VC source

GEP（基因表达式程序设计）是一种新的演化算法，该文件是基本的GEP编程，采用功能的封装格式，测试通过，能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.

这是一个用fortran 实现的BP算法源程序，以及c和 matlab实现BP的源程序。大家可以从各个方面做一个性能的比较-This is a used fortran source realize the BP algorithm, as well as c and matlab realize the source BP. From the U.S. to do all aspects of a performance comparison

基本蚁群算法的源代码 经过一些改正 改正了原来的一些错误 可以运行 -The basic ant colony algorithm source code through a number of corrections to correct the original error can run some

加拿大一大学开发的Fuzzy Clips的全套程序附带使用说明文件，可用于模糊推理机的开发。-Canada, developed at the University of Fuzzy Clips a complete program that comes with the use of documentation, can be used for fuzzy inference engine development.