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。-The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields. Platform: |
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Author:gongyl |
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Description: Web数据挖掘作为数据挖掘技术和Internet应用研究相结合的研究领域，涉及机器学习、数理统计、数据库、神经网络、模式识别、粗糙集、模糊数学等人工智能相关技术，目前已经发展成为一个受到社会各界关注的研究热点。-Web Data Mining as a data mining technology and Internet application that combines research involving machine learning, mathematical statistics, databases, neural networks, pattern recognition, rough sets, fuzzy mathematics, such as artificial intelligence-related technologies, has now been developed into a society concern of the hot spots from all walks of life. Platform: |
Size: 109568 |
Author:梁旭 |
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Description: 基于粗糙集与模糊规则的变压器故障诊断方法，介绍一种诊断变压器故障的新方法 -Based on rough sets and fuzzy rules of the transformer fault diagnosis method, introduced a new transformer fault diagnosis method Platform: |
Size: 41984 |
Author:李 |
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Description: 粗糙集代码
data reduction with fuzzy rough sets or fuzzy mutual information
fuzzy preference rough set based feature evaluation and selection
-Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection Platform: |
Size: 38912 |
Author:gq |
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Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
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Author:胡伟 |
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Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
Size: 395264 |
Author:胡伟 |
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Description: this paper reviews and compares theories of fuzzy sets and rough sét. Two approaches for the formulation of fuzzy sets are reviewed, one is base on many-valued logic and the other is based on model logic-this paper reviews and compares theories of fuzzy sets and rough sét. Two approaches for the formulation of fuzzy sets are reviewed, one is base on many-valued logic and the other is based on model logic.... Platform: |
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Author:saomaket |
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Description: 数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科，包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤，它用专门算法从数据中抽取模式(patter，如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是：数据准备、数据挖掘、结果的解释评估。-Data Mining (Data Mining) stage must first determine the mission or purpose of the excavation. The purpose of data mining is to draw valuable information hidden in the data. Data mining is an interdisciplinary involving a wide range, including control study, mathematical statistics, neural networks, databases, pattern recognition, rough sets, fuzzy mathematics and other related technologies. It is also often referred to as the " knowledge discovery" . Knowledge discovery (KDD) is that the whole process is to discover useful knowledge from data. Data mining is a particular step in the KDD process, with a special algorithm (patter, such as data classification, clustering, association rules discovery or sequential pattern discovery. Extracted from the data model and data mining major steps: data preparation, data mining, interpretation of the results evaluated. Platform: |
Size: 12288 |
Author:dlufl |
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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: 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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