Then took Xuzhou for example, set up the evaluation index system with the method of urban road network technology evaluation and made use of fuzzy logic model.
以徐州为例，通过道路网技术评价方法建立指标体系，利用模糊评价模型，对徐州市道路网进行评价，得出结论：徐州市道路网处于好的水平，但在道路网规模等方面应进一步改善。
Within a mathematical model things are perfectly clear, even when doing fuzzy logic.
数学模型内的事物都是绝对清晰的，甚至在处理模糊逻辑时也是如此。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Also, model of sorting system with this new sorting device is established and intelligent control to the sorting system is realized based on fuzzy logic control.
解决了基于新型分类装置的分拣系统控制模型的建立与实现，运用模糊逻辑控制实现了分拣系统的智能控制。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
By applying AHP-FUZZY method and combining logic reasoning, the mathematical model to evaluate the states of main productive equipments is proposed.
针对火电厂的主要生产设备采用AHP - FUZZY方法，并结合逻辑推理，建立了设备综合评价数学模型。
A fuzzy logic controller was developed for the suspension system, based on a damping-controlled (semi-active) suspension system model.
在基于阻尼控制的半主动悬架系统模型基础上，设计了悬架系统模糊逻辑控制器。
We propose the design method of model reference self organizing fuzzy logic controller, and construct its fuzzy logical control rules in this paper.
提出了模型参考自组织模糊逻辑控制器的设计方法，并建立其模糊逻辑控制规则。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊tS模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Controller was designed in MATLAB fuzzy logic toolbox, and fuzzy controller and taxiing model were used in SIMULINK condition, and the whole simulation model was set up.
在MATLAB模糊逻辑工具箱中对控制器进行设计，并将模糊控制器与滑跑模型应用于SIMULINK仿真环境，建立整体仿真模型。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
This paper identifies the project characteristics and risk events used in the model; explains the structure of the model and the use of fuzzy logic.
讨论了用模型来识别项目特征与风险事件，解释了模型结构和模糊逻辑分析法的应用。
But fuzzy logic only pay attention to the sequential changeability of fuzzy proposition logic's value, not notice the sequential changeability of fuzzy proposition logic's conjunction operation model.
但是模糊逻辑只注意到了模糊命题逻辑真值的连续可变性，而没有认识到模糊命题连接词的运算模型的连续可变性。
Based on the binary tree structure and fuzzy logic theory, a fuzzy tree model applied to complex system modeling is proposed in this paper.
基于二叉树和模糊逻辑理论，提出了一种用于复杂系统建模的模糊树模型。
Large amplitude test, Unsteady aerodynamic, Wall influence, dynamic derivative simulating, Mathematic model, Fuzzy logic, Aerodynamicmodeling, Flight simulating.
大振幅试验，非定常空气动力，空气动力模型，洞壁干扰，动导数仿真，数学模型，模糊逻辑，飞行仿真。
This approach provides a detailed superiority-inferiority model for medium-voltage urban distribution networks by utilizing approximate-reasoning and decision-making methodologies of Fuzzy Logic.
为了解决这一问题，运用一种基于模糊逻辑的近似推理和决策方法，建立了详细的城市中压配电网供电能力优劣性评估模型。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
This paper describes an adaptive web intrusion detection model based on immune and fuzzy logic.
本文介绍了一种基于免疫系统和模糊逻辑的自适应网格入侵检测模型。
A novel fuzzy logic controller based on T-S model is proposed for automatic generation control (AGC) system after deregulation.
本文针对解除管制后的自动发电控制系统(agc)提出了一种新颖的基于T - S模型的模糊逻辑控制器。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
By using this model, people need not select any fuzzy logic in advance, and can adjust the network structure by the structure and parameter learning of the neural network.
该模型无需事先确定模糊控制规则，并能通过神经网络的结构及参数学习调整模糊神经网络的结构。
A conceptual model to solve those problems by means of fuzzy logic technique, data fusion technique etc. is presented in this paper.
提出了采用模糊技术与数据合成技术等相结合来解决上述问题的概念模型。
A conceptual model to solve those problems by means of fuzzy logic technique, data fusion technique etc. is presented in this paper.
提出了采用模糊技术与数据合成技术等相结合来解决上述问题的概念模型。
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