模式识别，以及重要的问题，很好的内容，不错过

经典的BPN人工神经网络例子源码 ，很经典的-BPN classic examples of artificial neural network source code, it is classic

数据挖掘经典算法遗传算法的C++实现源码-Classical data mining algorithm for genetic algorithm C++ Realize source

介绍了神经网络模式识别的基本知识，适合于模式识别领域的人员-it introduces the ABC of the pattern recognation of NN, it is for the people of pattern recognation

一篇关于遗传算法组卷的论文，论文中详尽的描述了遗传算法用于组卷的关键技术-A paper on genetic algorithm test paper, paper, a detailed description of the genetic algorithm for the key technologies Test Paper

Adaptive Resonance Theory (ART) Neural Network

设计的bp神经网络，来判断和预测机器的故障级别。-Bp neural network designed to determine and predict the fault-level machines.

一个简单的遗传算法源代码。。。。。代码保证尽可能少，实际上也不必查错-A simple genetic algorithm source code. . . . . Code to ensure that as little as possible, in fact, do not have error checking

本程序为基于工艺参数优化的改进遗传算法程序-based on the procedures for the optimization of process parameters improved genetic algorithm

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

利用神经网络预测时间序列，以太阳黑子和实际的转子故障信号为例，matlab编程-Using neural network time series prediction to sunspots and the actual rotor fault signal as an example, matlab programming