遗传算法编程很有用的，可以用来借鉴参考，希望对大家有帮助！...

中国股市分析，2008年数学建模预测，股市是股票市场或股票交易市场的简称，也称为二级市场或次级市场，是股票发行和流通的场所，也可以说是指对已发行的股票进行买卖和转让的场所。在我国，沪深股市是从一个地方股市发展而成为全国性的股市的，1990年12月正式营业。以上证为例，有A股、S股、ST股等，其中A股也称为人民币普通股票、流通股、社会公众股、普通股，以人民币认购和交易。A股不是实物股票，以无纸化电子记账，实行“T+1”交割制度，有涨跌幅（10％）限制，参与投资者为中国大陆机构或个人，目前已发展到853家最新-err

knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,

现代控制理论经典PPT，非常有效，而且方便好用-Classic modern control theory, PPT, very effective and convenient easy to use

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

遗传模拟退火算法在弹药装载中的应用研究 PDF文挡，相当经典，供大家分享-Genetic simulated annealing algorithm in ammunition loaded in the Applied Research PDF text block, very classic for everyone to share

RBF算法matlab工具箱,里面有详细的说明文档.-RBF algorithm matlab toolbox, which has detailed documentation.

Visual C++编写的粒子群优化算法！-Visual C++ Prepared particle swarm optimization algorithm!

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem

Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究. -Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.

ai 代码的C++实现，在VC6.0下运行通过-ai code of C++ to achieve，vc++ Running through