搜索资源列表
Tutorial-for-Ziarko-model
- 粗糙集课件。里面有覆盖粗糙集模型和 Ziarko变精度粗糙集模型以及粗糙集程序-courseware. There are covering rough set model and Ziarko model
yichuansuanfawenxian04
- 这是一篇文献，题目是：《基于粗糙集和遗传算法的数据挖掘方法》-This is a document entitled: " Based on Rough Set and Genetic Algorithm Data Mining"
roughsetsandneuralnetworks
- 把粗糙集和神经网络联合在一起的经典的论文资料，结合了粗糙集优秀的简约功能和神经网络强大的自适应功能-The rough sets and neural networks to bring together the classic papers of information, combined with rough set excellent functionality and simple robust adaptive function of neural networks
RoughSetTheoryUsingVB
- 基于粗糙集理论的属性约简算法的VB实现（PDF），来源于中国期刊网的论文-Rough Set Theory Using VB
gjccj
- 改进的基于粗糙集的图像平滑的文章，改进的基于粗糙集的图像平滑，改进的基于粗糙集的图像平滑-Improved Image Smoothing Based on Rough Set of articles, improved image smoothing based on rough sets, improved image smoothing based on rough sets
asdf
- 本文提出一种粗糙集理论和动态前馈神经网络相结合的神经网络构造方法。充分发挥了粗糙集理论和神经网络的优势，弥补了各自的缺点。并应用于实际工业过程，在乙烯装置裂解炉燃料气热值控制中取得了良好的应用效果。-This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set th
ruduction
- The basis of MATLAB applications and rough set theory based on knowledge (PDF)
roughset
- 粗糙集中一种属性约简的算法C++的代码，不是工程文件，是文档-A kind of rough set attribute reduction algorithm for C++ code, not the project file is a document
roughandfuzzy
- 模糊聚类和粗糙集关于web聚类很好的文章-Fuzzy Clustering and Rough Set Clustering good article on the web
RoughSetAndSVM
- 本文提出一种综合粗糙集与支持向量机的 Web 文本分类模型，利用粗糙集的属性约简方法，减少支持向量机训练数据的维数，提高 Web 文本分类的性能与效率.-This article advances a Web text classification model which synthesis rough set and support vector machine. Using the rough set’s attribute reduction method to reduce the di
Mcuj
- A simple method of data classification using rough set theory is described, as implemented by the tools in Alexander Ohra s software application ROSETTA
4.-Rough-set-and-fuzzy-set-modal-and-application.
- Rough set and fuzzy set modal and application
6.-An-Enterprise-Financial-Evaluation-Model-Based
- An Enterprise Financial Evaluation Model Based on Rough Set
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
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
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
粗糙集属性约简算法综述
- 属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属 性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibilit