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: 4194405 |
Author:成东 |
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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: 基于模糊神经网络的软件质量预测模型研究深刻阐述了模糊逻辑推理的全过程，从输入层到隐含层再到输出层。-The thesis expounded the whole process of fuzzy logic reasoning, from the input layer to hidden layer to output layer. Platform: |
Size: 1498112 |
Author:aa |
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Description: 这是一篇大连理工大学的硕士学位论文，题为基于模糊逻辑的多级倒立摆控制系统研究，是在李洪兴教授的指导下完成的。该论文的亮点在于详细的介绍变论域自适应模糊控制思想，并以二级倒立摆为实验对象给出了相应的方针结果。-This is a master' s degree thesis, Dalian University of Technology, entitled Multi-level Fuzzy Logic Inverted Pendulum Control System, is under the guidance of Professor Li Hongxing completed. The paper highlights the detailed description of variable universe adaptive fuzzy control ideas, and to double inverted pendulum as experimental results of the corresponding policy. Platform: |
Size: 4857856 |
Author:haphan |
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Description: In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 676864 |
Author:Sam |
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Description: HOW TO WRITE A SUCCESSFUL SCIENTIFIC THESIS
In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 20823040 |
Author:Sam |
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Description: This thesis is a part of the research carried out on a double stage grid connected photovoltaic system, associated with a shunt active power filter. In the first stage, the photovoltaic generator is connected to a boost DC-DC converter, acting through two MPPT algorithms, based on fuzzy logic and sliding mode control, to track permanently the optimum point, and injecting so the extracted amount to the grid. In the second stage, a two-level voltage source inverter is introduced, to fulfill two main roles: Ensuring the injection into the grid of the extracted power, and acting as an active filter to eliminate the effect of undesirable harmonics, caused by the non-linear load. In this context, various techniques, inspired from the direct power control have been implemented to improve the energy quality of the system Platform: |
Size: 4677632 |
Author:sbr energie
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