Description: 《模糊逻辑工具箱新》（Fuzzy Logic Toolbox Add-On），增加了新的公共过程基于模糊控制系统的模糊控制工具箱。
作者: Antonio Javier Barrag-"Fuzzy Logic Toolbox new" (Fuzzy Logic Toolbox Add-On), a new public process control system based on fuzzy Fuzzy Control Toolbox. Author : Antonio Javier Barrag Platform: |
Size: 670645 |
Author:李岩 |
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Description: 一本关于智能控制系统的好书，里面包括了模糊逻辑、专家系统、神经网络控制等内容，不仅理论叙述翔实，还有大量的实际程序附录，值得大家学习。-an intelligent control system on the books, including the inside of fuzzy logic, expert system, neural network and control content, not only informative narrative theory, there is a lot of practical procedures appendix, it is worth study. Platform: |
Size: 8908800 |
Author:tyroneh |
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Description: 《模糊逻辑工具箱新》（Fuzzy Logic Toolbox Add-On），增加了新的公共过程基于模糊控制系统的模糊控制工具箱。
作者: Antonio Javier Barrag-"Fuzzy Logic Toolbox new" (Fuzzy Logic Toolbox Add-On), a new public process control system based on fuzzy Fuzzy Control Toolbox. Author : Antonio Javier Barrag Platform: |
Size: 670720 |
Author:李岩 |
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Description: 论文标题:自适应模糊系统在手写体数字识别中的应用研究
作者:张镭
作者专业:计算机软件人工智能
导师姓名:黄战
授予学位:硕士
授予单位:暨南大学
授予学位时间:19990501
论文页数:59页
文摘语种:中文文摘
分类号:TP18 TP391.4
关键词:手写体数字 自适应 模糊逻辑 神经网络 模式识别
摘要:该文针对模式识别的特点,构造了适合于模式识别问题的自适应模糊系统,对三种不同学习算法加以改进,在手写全数字识别上对分类器进行了实现,并与采用BP算法训练的三层前馈神经网络分类器相比较,分析其优劣.仿真实验表明,在该文的样本集条件下,自适应模糊分类吕的识别性能优于神经网络分类器,这充分体现了自适应模糊技术用于数字识别的优越性和潜力.-thesis entitled : adaptive fuzzy system in a handwritten numeral recognition of applied research Author : Zhang Lei professional author : artificial intelligence computer software instructor Name : Huang war conferred degrees : Master award units : Jinan University conferred degrees : 19990501 page thesis : Abstracts 59 languages : Chinese Digest Key words : TP18-image Keywords : handwritten digital adaptive fuzzy logic neural network pattern recognition Abstract : In this paper the characteristics of pattern recognition, suitable for the construction of adaptive pattern recognition fuzzy systems, three different learning algorithm to improve the handwriting recognition on digital classification of the device to achieve, BP and with a three-tiered training algorithm for neural network clas Platform: |
Size: 4194304 |
Author:成东 |
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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。-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: |
Size: 797696 |
Author:gongyl |
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Description: 基于模糊逻辑控制的数字锁相环，用于通信系统中的载波恢复。Digital phase lock loop base on fuzzy logical control, which is used to recover carrier in communication system.-Based on fuzzy logic control of digital phase-locked loop for the communication system in carrier recovery. Digital phase lock loop base on fuzzy logical control, which is used to recover carrier in communication system. Platform: |
Size: 33792 |
Author:gogomx |
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Description: 本设计将对烘干机的温度控制予以研究。烘干机的结构虽然比较简单，但烘干过程是非线性、时变性和多变量的。在烘干过程中由于受各种不确定因素的影响，难于建立精确的数学模型。虽然自适应、自校正控制理论可以对缺乏数学模型的被控对象进行识别，但这种递推法复杂，实时性差，对烘干机水分的控制难以取得较好的控制效果。本设计将模糊控制理论最新应用于干燥的控制系统，以单片机为核心的模糊控制器将模糊逻辑语言控制策略变为有效的自动控制策略。在数字单片机上用模糊控制算法编制软件程序来实现对烘干过程的模糊控制。-This design will study to the dryer temperature control. The structure of the drier is simple，but the drying process are non-linear, changing with the time and multi-variable. Due to the impact of the uncertainty factor, it is hard to establish the precision of the mathematic model. Though the theory can recognize the controlled object which short of them a thematic model, it is hard to useful control effect because of the complication and the disadvantage in the real- time control. The present design will make controls theory most newly to be applied to the dry control system, the fuzzy controller which takes Micro Control Unit as the core will make the fuzzy logic language control strategy to a effective automatic control strategy. Realizes on the digital Micro Control Unit with the fuzzy control algorithm establishment software procedure to dries the process of fuzzy control. Platform: |
Size: 168960 |
Author:叶剧 |
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Description: 一本关于智能控制系统的好书，里面包括了模糊逻辑、专家系统、神经网络控制等内容，不仅理论叙述翔实，还有大量的实际程序附录，值得大家学习。-An intelligent control system about the books, which include fuzzy logic, expert system, neural network control, etc., not only informative narrative theory, there are many practical procedures in Appendix, it is worth studying everyone. Platform: |
Size: 8911872 |
Author:wanghua |
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Description: The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you through the steps of fuzzy inference system design. Functions are provided for many common fuzzy logic methods, including fuzzy clustering and adaptive neurofuzzy learning.-The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you through the steps of fuzzy inference system design. Functions are provided for many common fuzzy logic methods, including fuzzy clustering and adaptive neurofuzzy learning. Platform: |
Size: 1190912 |
Author:mplayerx1 |
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Description: 为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision. Platform: |
Size: 551936 |
Author:月到风来AA |
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Description: Capacity of CDMA system depends on
an interference level in the system. There are therefore
RRM (Radio Resources Management) functions, which are
responsible for supplying optimum coverage, ensuring efficient
use of physical resources and providing the maximum planned
capacity. A call admission control algorithm based on load
factor evaluation and a fuzzy logic based call admission
control algorithm are presented and mutually compared in this
contribution Platform: |
Size: 398336 |
Author:raghaw |
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Description: 针对光伏发电系统的控制问题，提出一种模糊控制算法，提高效率。-Photovoltaic power generation system for the control problem, presents a fuzzy control algorithm to improve efficiency. Platform: |
Size: 614400 |
Author:Rick |
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Description: This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analysis. In this paper, we propose an indirect method to create an interval type-2 fuzzy logic system from a historical data, where Footprint of Uncertainties of fuzzy sets are extracted by implementation of an interval type-2 FCM algorithm and based on an upper and lower value for the level of fuzziness m in FCM. Finally, the proposed model is applied for prediction of carbon monoxide concentration in Tehran air pollution. It is shown that the proposed type-2 fuzzy logic system is superior in comparison to type-1 fuzzy logic systems in terms of two performance indices. Platform: |
Size: 1391616 |
Author:m |
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Description: This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval
type-2 fuzzy logic inference system development Platform: |
Size: 896000 |
Author:barbaracom |
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