Description: 用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)-prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets) Platform: |
Size: 28672 |
Author:邱大山 |
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Description: （压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati Platform: |
Size: 2048 |
Author:dong |
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Description: 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 theory and neural networks the advantage to make up for their shortcomings. And applied to practical industrial processes, in the ethylene plant cracking furnace fuel gas calorific value of control to achieve a good application effect. Platform: |
Size: 402432 |
Author:王飞 |
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Description: 粗糙集神经网络的旋转机械故障诊断Based on rough set and neural network fault diagnosis of rotating machinery-Based on rough set and neural network fault diagnosis of rotating machinery Platform: |
Size: 233472 |
Author:huay163 |
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Description: 本书详尽地阐述了数据挖掘与知识发现领域中的一些基本理论和研究方法。介绍了KDD与数据挖掘的概念数据挖掘对象知识发现过程研究方法以及相关研究领域和应用范围。作为知识发现的数据预处理工作，简要叙述了数据清理、数据约简、数据概念等级分层、多维数据模型等内容。书中较详细地介绍了粗糙集、模糊集、聚类分析、关联规则、人工神经网络、分类与预测等数据挖掘方法，最后还简要介绍了多媒体数据挖掘工作的有关进展。 本书可以作为计算机科学与技术专业和信息科学方向高年级本科生和研究生的教材或参考书，也可供有关科技人员学习参考。
-The book detailed description of data mining and knowledge discovery in the field of some of the basic theory and research method. Introduces the concept of data mining KDD and data mining knowledge discovery process research methods and related research areas and applications. As a knowledge discovery data preprocessing, briefly describes the data cleaning, data reduction, data concept hierarchy, multidimensional data model etc.. The book describes in detail the rough set, fuzzy set, association rule, cluster analysis, artificial neural network, classification and prediction method of data mining, and also briefly introduces the multimedia data mining related work in progress. This book can serve as a professional computer science and technology and information science graduate and advanced undergraduate textbooks or reference books, is also available for study and reference about scientific and technical personnel. Platform: |
Size: 1608704 |
Author:冯荣俊 |
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Description: 本书首先介绍了MATLAB语言的程序设计的基本内容，在此基础上系统介绍了各个应用数学领域的问题求解，如基于MATLAB的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。本书可作为一般读者学习和掌握MATLAB语言的教科书，也可作为高校理工科各类专业的本科生和研究生学习计算机数学语言的教材和参考书，可供科技工作者、教师作为学习和应用MATLAB语言解决实际数学问题的参考资料，还可作为读者查询某数学问题求解方法的手册。-This book introduces the MATLAB language programming to the basic content, on the basis of this system introduces the various applications of mathematics problem solving, such as those based on MATLAB calculus, linear algebra problem solving by computer, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problem, data interpolation and function approximation problem, probability theory and mathematical statistics analytical solution and numerical solution. Also introduced a new non traditional methods such as fuzzy logic and fuzzy reasoning, neural network, genetic algorithm, wavelet analysis, rough sets and fractional calculus and other fields. This book can be used as ordinary readers to study and master the MATLAB language textbooks, also can be used as the University s science and engineering of various kinds of professional undergraduate and graduate study in c Platform: |
Size: 54010880 |
Author:詹瑞 |
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Description: matlab粗糙集算法，主要使用于神经网络和支持向量机等算法的预处理，可以有效地筛选数据-matlab rough set algorithm, mainly used in the pre-processing of the neural network and support vector machine algorithm can effectively filter the data Platform: |
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Author:梦梦 |
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Description: It is a powerpoint for presenting the neural network which is related and implemented with rough set and fuzzy system Platform: |
Size: 669696 |
Author:Sadaf |
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Description: 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）、遗传算法、模糊逻辑、人工神经网络算法）。-Classical machine learning classification algorithms overview。 Including Decision Tree (ID3, C4.5 (C5.0), CART, PUBLIC, SLIQ and SPRINT algorithm), three typical Bayesian classifier (Naive Bayes algorithm, TAN algorithm Bayesian network classifiers), k-nearest neighbor based classification algorithm (MIND algorithm, GAC-RDB algorithms) database technology, based on association rules (CBA: classification (Apriori algorithm) Classification Based on Association Rule), and support vector machine classification, classification method based on soft computing (rough sets (rough set), genetic algorithms, fuzzy logic, artificial neural network algorithm).... Platform: |
Size: 30720 |
Author:MM |
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Description: 构造人脸数据库，利用粗糙集进行属性约减，最后利用神经网络就行分类-Construct face , using rough sets attribute reduction , and finally the use of neural network to classify Platform: |
Size: 193536 |
Author:张苏楠 |
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Description: 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 Platform: |
Size: 70656 |
Author:lvlv |
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Search - Rough neural network