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Artificialintelligence
- 详细介绍了贝叶斯理论，神经网络，模糊集合，粗糙集，遗传算法的原理与应用等。 -Details of the Bayesian theory, neural networks, fuzzy sets, rough sets, genetic algorithm theory and applications.
roughset
- 粗糙集理论的matlab实现代码，计算上、下近似集以及核属性和约简结果-Implementation of rough set theory matlab code to calculate the upper and lower approximation sets and the results of the nuclear properties and some simple
Themodelofpercisionroughset
- 变精度粗糙集是经典粗糙集的一种推广，它的抗噪能力比经典粗糙集强-Variable precision rough set is an extension of classical rough sets, it s robust to noise than classical rough set strong
RoughSet
- 有关粗糙集算法的实现，里面有多个粗糙集的变种版本，学习粗糙集的好工具-On rough set algorithm, there are multiple versions of a variant of rough sets, rough sets a good tool for learning
lgorit
- 粗糙集与模糊集的连续值域决策表的离散化算法-Based on rough sets and fuzzy sets continuous range of discrete decision table algorithm
gafit
- 联合运用粗糙集(RS)理论-遗传算法(GA)-支持向量机(SVM)方法研究真核生物翻译起始位点(TIS)的识别.-A classification model is built to recognize translation initiation sites (TISs) in eukaryotes by applying rough sets-genetic algorithm-support vector machine (RS-GA-SVM).
c3
- 智能信息处理中的粗集信息处理以及粗糙集应用的ppt-Intelligent information processing in rough set information processing and the application of rough sets to ppt