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- Neural Fuzzy Logic Control for Gas Tungsten Arc Welding 弧焊过程神经网络模糊控制
- neural fuzzy logic 神经模糊逻辑
- Its principal constituents are fuzzy logic, neural network and evolutional computing. 它主要由模糊逻辑、神经网络、进化计算等组成。
- Mullier, D. (1999), The Application of Neural Network and Fuzzy Logic Techniques to Educational Hypermedia, Ph.D. 王志浩(2005)，适性化教学课程半自动化产生之研究，硕士论文，铭传大学资讯工程研究所。
- For example, a manufacturer could utilise the technique of case-base reasoning, neural network or fuzzy logic to enhance its design capability. 举例来说,制造商可以利用个案推理、神经网络或快思逻辑,提高其设计能力。
- The compensative fuzzy neural network(CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are researched. 研究了基于补偿模糊逻辑与神经网络相结合的补偿模糊神经网络(CFNN)。
- Nowadays, neural networks and fuzzy logic systems have been becoming the focus of the researches in the field of intelligent control. 目前,神经网络和模糊逻辑成为当前智能控制研究的热点之一,将模糊逻辑与神经网络有机地结合起来,就产生了模糊神经网络。
- In this paper, the compensative fuzzy neural network (CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are introduced. 介绍了基于模糊逻揖和神经网络的补偿神经网络(CFNN)及其学习算法,利用CFNN学习速度快、学习过程稳定、全局动态优化运算等特点,建立污水处理厂CFNN的水质预测模型。
- This paper put forward fuzzy control based on neural net, it influxes the advantage of fuzzy logic and neural net, gathers learning, association and self-adaptation together. 本论文提出了基于神经网络的模糊逻辑控制，它汇集了模糊逻辑与神经网络各自的优点，集学习、联想、自适应于一体。
- There are two kinds of the combine of fuzzy technology and neural network currently .one kind is combined of the fuzzy logic and the feedback neural network . 目前模糊数学和神经网络的结合主要有两种：一种是模糊逻辑与反馈型神经网络的结合；
- FLC (Fuzzy Logic Control) was used to realize the charge method. 在充电方法的控制和实现上，设计了以模糊控制为主的控制方法。
- C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Preutice-Hall, 1996. 林法正，魏荣宗与段柔勇，超音波马达之驱动与智慧型控制，沧海书局。
- In fuzzy logic,normal residuated based logic systems play avery important role. 在模糊逻辑中;基于剩余格的逻辑系统起着非常重要的作用.
- This paper briefs the application actuality of fuzzy logic in food industry. 简单介绍了模糊数学在食品行业中的应用现状。
- This paper analyses the technology of AVT and LPR and indicates that the application of the technology of the fuzzy logic and neural networks is a good approach to the solution of such complicated problems as AVI and LPR. 文章着重分析了车型识别技术与车牌自动识别技术 ,并指出模糊逻辑技术与神经网络技术的使用是解决车型识别和车牌识别这种复杂非线性问题的一个良好的途径。
- Adaptive neural fuzzy inference system(ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine. 作为一种局部逼近方法,自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
- In order to realize the combination of the intelligent control methods and DTC theory, this paper systemically introduces the typical methods such as fuzzy logic control and neural networks etc. 为了实现智能控制方法和直接转矩控制合理结合，本文系统地介绍了智能控制方法中的典型的模糊逻辑控制、神经网络控制方法，详细分析了智能控制中的模糊、神经网络控制器的设计和求解机理。
- Decision trees, neural networks, fuzzy logic, genetic algorithm and rough set are the popular research tools. Recently, linear system technique is applied to the classification in the data mining. 主要的研究工具包括统计学、决策树、神经网络、模糊逻辑、粗糙集、遗传算法等,最近,线性系统方式技术被引用到数据挖掘的分类问题中,并且在对信用卡风险管理中获得了很好地应用。
- The fuzzy counterpropagation (FCP) network is functionally equivalent to the TS model of fuzzy logic systems, and has the characteristics of both neural networks and fuzzy logic systems. 模糊对向神经网络 (FCP)在功能上同模糊逻辑系统的TS模型是等价的 ;它具有神经网络和模糊逻辑系统各自的优点 ;因而适宜作辨识模型 .
- The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements. 下节将描述这种模糊逻辑语句的计算机实现所需要的数学基础。
