bp achieve with the digital identification procedures, the use of classical bp a...

FisherFace, an algorithm based on PCA and LDA

采用面向负荷控制技术，用面向对象思想与快速原型法的设计方法，在SQL SERVER数据库中实现模型及数据的存储。算法尽量简单实用，时间复杂性及空间复杂性必须在实际环境允许的范围之内。-used for load control technology, using the object-oriented thinking and rapid prototyping of the system, SQL Server database implementation model and data storage. As simple and practical algorithm, time and space complexity of complexity in a realistic environment to the extent permitted within.

用改进的神经网络MBP算法辨识 ，对具有随机噪声的二阶系统的模型辨识-improved neural network algorithm for identification of MBP, the random noise with the second-order system model

这里有一个用vc写的人工智能八数码源代码，，非常有参考价值，感兴趣的或者是需要的人可以来下载哦~-Here is a use of artificial intelligence was vc eight digital source code, and very useful, or is interested in need can be downloaded from Oh!

随机神经网络工具箱-random neural network toolbox

神经网络的运用，比较基础，对初学者比较有用-The use of neural networks, basis of comparison, more useful for beginners

Boltzmann Machine Optimization 人工智能人工神经网络源码-Boltzmann Machine Optimization of artificial neural network artificial intelligence source

属性约简程序： 1将roughset数据库附加到SQLServer2000数据库中 2 在system.ini中设置SQLServer2000服务器ip,若在本地，则不必设置 3 在CTR表中输入决策表 4 启动roughset_getreduce.exe求约简和规则.-attribute reduction procedures : roughset database will be an additional database to SQLServer2000 2 syste m.ini set SQLServer2000 server ip, if the local, they do not need to set up three tables in the importation of CTR Decision Tables 4 start roughset_getreduce.e xe demand reduction and rules.

he AutoMix package is a C program for Unix-like systems, implementing the automatic reversible jump MCMC sampler of the same name described in Chapters 4, 5, and 6 of David Hastie s Ph.D. thesis-he AutoMix package is a C program for Unix-l ike systems, implementing the automatic reversible jump MC MC sampler of the same name described in Chapter s 4, 5, and 6 of David Hastie"s Ph.D. thesis

这是一本粗糙集的数据挖掘经典书籍，书中不但介绍了粗糙集的相关知识，并给出了相关应用，同时介绍并比较了其他挖掘方法。-This is a rough set data mining classic books, the book not only introduced a rough set of relevant knowledge, and gives the related application, at the same time and compare the introduction of other mining methods.