搜索资源列表
Rosetta
- 简单介绍粗粗糙集的起源、应用领域、发展前景。还有就是介绍了简单的应用,适合初级者学习。-Brief introduction to the origin of rough rough sets, applications, development prospects. There is described a simple application, suitable for beginners to learn.
Text-feature-dimension-reduction
- 关键词:文本分类 特征降维 规则抽取 模式聚合 粗糙集 -Keywords: text classification feature dimension reduction rule extraction model aggregation rough set
Rough-set
- 粗糙集知识的非常易懂的讲解,可以使初学者容易上手-Rough set knowledge is very easy to explain, beginners can easily start
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标,利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数,缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分,具有很强的泛化能力。- A customer dynamic evaluation method
Stock-Trading-Using-RSPOP
- 股票买卖RSPOP一种新型的基于粗糙集的神经模糊方法-Stock Trading Using RSPOP A Novel Rough Set-Based Neuro-Fuzzy Approach
value-reduce
- 一种基于粗集的值约简方法 一种粗糙集值约简算法及其应用 基于粗糙集的一种属性值约简算法及其应用-A value reduction method based on rough set a rough set value reduction algorithm and its application based on rough set an attribute value reduction algorithm and its application
fuzzy_date_mining
- 粗糙集扩展模型及其在数据挖掘中的应用研究-Extended rough set model and its application in data mining research
RS
- RS粗糙集利用,用于特征属性的约减,用matlab实现的。-RS rough set utilized for feature attributes about subtraction, using matlab to achieve.
Rosetta
- rosetta粗糙集软件的使用方法教程,很有参考价值-rosetta rough set to use the software, great reference value
ROUGH-SET
- 粗糙集属性约简相关论文,感觉不错,用来分享一下-Rough set attribute reduction related papers, I feel good, to share
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述,包括Decision Tree(ID3、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法),三种典型贝叶斯分类器(朴素贝叶斯算法、TAN算法、贝叶斯网络分类器),k-近邻 、 基于数据库技术的分类算法( MIND算法、GAC-RDB算法),基于关联规则(CBA:Classification Based on Association Rule)的分类(Apriori算法),支持向量机分类,基于软计算的分类方法(粗糙集(rough set)、遗传
RoughSetReduct_Sln
- 粗糙集函数,用于实现最基本的粗糙集函数的基本功能-rough set
cucaoji
- 粗糙集的相关文档,自己搜集的资料看,供大家学习-Related Documentation rough set, they collect information look for everyone to learn
rough-RBFcucaoji
- 粗糙集理论改进的RBF神经网络,适用性比较强,对RBF的优化有一定的作用-Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role
ASM-2.2.1
- 对模型特征点周围的纹理信息进行采样,对比图像和模型训练集的纹理,找到纹理最接近的点即认为是特征点。作者这里比较纹理的工具是马氏距离。为了提高搜索的效率,作者还提到了多分辨率搜索周围像素纹理,对于粗糙的尺度,搜索范围大,对于细致的尺度,进行细致的搜索,提高了匹配的效率。-The texture information model feature points around the sampling, texture contrast image and model train sets, find
paper2
- 基于优势关系粗糙集的自主式学习模型 邓维斌,王国胤,胡峰-Based on Dominance Rough Sets autonomous learning model- .Classification, WANG Guo Hu Feng
chucaoji
- 关于粗糙集很好的文章,值得一看,希望大家好好学习,可以相互交流!-Rough set good article worth a visit, I hope you learn, you can communicate with each other!
rougset
- 本文对粗糙集有一个详细的介绍,并给出了相关的公式和计算过程,是非常好的参考资料-In this paper, rough set has a detailed introduction, and gives the relevant formula and calculation process, is a very good reference.