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C45Rule-PANE
- Descr iption: 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 diagn
fpmax_star
- 关联规则中的频繁项集生成算法fomax*，一个非常优秀的算法，由中国人（朱建飞）的参与。-association rules of frequent item sets Algorithm trillion *, a very good algorithm, China (Zhu Jianfei) participation.
apriori-rules
- 关联规则挖掘，一种改进了的APRIORI算法，效率较原有算法大大提高-mining association rules, an improved algorithm for the analysis and efficient than the original algorithm greatly enhanced
GGAP-RBF
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
DataminingBasedonGeneticAlgorithms
- 本文提出了基于遗传算法的关联规则的提取方法，并从编码方法、适应度函数的构造、交叉算子和变异算子的设计等方面进行了详细都讨论和分析，并结合我校的智能型学生测评系统，给出了用遗传算法进行关联规则挖掘的实例。-This paper brings forward the algorithms based on the genetic algorithms of association rules,discusses and analyses the genetic algorithms in detai
Armada
- Data Mining toolboox that extracts Association Rules from numerical data files using a variety of selectable techniques and criteria
rsar_1.3.3.tar
- sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
Apriori_Matlab
- Apriori algorithm for association rules
MATLAB-basedControlSystemAnalysis
- 锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的 控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学 模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包 水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。 本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅 炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行 仿真。结果表明，该控制器自整
rules
- some neural network rules Matlab code such as:perceptron, delta, widrow exist in this document
Bayes-Classifier-Association-Rules
- 朴素贝叶斯分类是一种简单而高效的分类模型，然而条件独立性假设在现实中很少出，致使其性能有所下降。通过引入关联规则，从两方面来改善朴素贝叶斯分类的性能。一方面，通过对关联规则的挖掘，发现条件属性之间的关联关系，并且利用这种关联关系弱化朴素贝叶斯的独立性假设；另一方面，通过关联规则的置信度，给朴素贝叶斯加权。 -Naive Bayesian classifier is a simple and efficient classification model, the conditional indep
M-File-Construction-Rules
- M-File Construction Rules
mining-rules
- an algorithm for mining association rules an frequent patterns
Association-rules-mining-algorithms
- 关联规则的数据挖掘是数据挖掘技术中非常重要和有应用前景的一种技术，一直是近几年来数据挖掘研究和应用领域活跃的前沿 -Data mining of association rules is very important and the application prospect of a technique in data mining technology, has been active in the forefront of recent years data mining researc
rough-set-reduct-and-get-rules-code
- 粗糙集的约简源码以及规则获取matlab 源代码，由老师编写，值得试用-Source code as well as the rules of the rough set reduction for matlab source code, prepared by the teacher, it is worth the trial
Trading-Rules-on-the-Stock-Markets
- 股市的市场交易规则用遗传网络编程与蜡烛图-Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart
Trading-Rules-on-Stock-Markets
- 股市的交易规则用遗传网络编程学习用复数的子程序-Trading Rules on Stock Markets Using Genetic Network Programming-Sarsa Learning with Plural Subroutines
fuzzy-rules
- 主要是学习模糊规则的基本原理，包括模糊规则的设置以及模糊规则的优化等问题，值得学习与交流。-The main is to learn the basic principles of fuzzy rules, including the fuzzy rule set and the optimization problem of fuzzy rules, it is worth learning and exchange.
Association-rules
- 用关联规则分析泰坦尼克存活人员特征,特征选择和存活率- Association rules
Association Rules Mining Algorithm
- 代码都已改好，可以实现关联规则的挖掘，调试过很多次，应该没问题。(The code has been changed so that the mining of association rules can be realized.)