基于遗传算法优化神经网络结构源程序

HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said

美国麻省理工大学教授人工智能的课件以及课后的习题相关-American University professor of artificial intelligence at MIT courseware and the exercises related to the after-school

普通的pid控制数字化，可以使用效果好-ordinary pid control digital, you can use good results

遗传算法的人工生命模拟源程序-Genetic algorithm source artificial life simulation

自主式决策树学习的程序源码，对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.

多段图的分析算法,找到最优路径,用VC编的-more of the map analysis algorithms to find the optimal path, the series with VC

用遗传算法解决八皇后问题！ 有比较详细的注释！ 还有有关遗传算法理论的描述。 -Using genetic algorithms to solve the issue of the eight Queen

　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

很不错的xml解析工具，写的非常好，值得用一下-A very good tool for xml parsing, writing very well, it is worth to use what

C语言实现的PSO算法，2007标准版，希望对大家有用-PSO algorithm in C