Neuro fuzzy system can be used in image de-noising problems.
实验表明模糊神经系统可以应用于图像去噪问题。
A new way to analyze stability issues of T-S fuzzy system based on observers is investigated.
提出了一种新的基于观测器的T S模糊系统稳定性分析方法。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。
Optimization in a fuzzy environment has long been a topic in the development of fuzzy system theory.
在模糊环境下的优化向来是模糊系统理论的中心课题之一。
This paper studies the addition model SAM in fuzzy system standard and analyzes the set function in the model.
对模糊系统标准可加性模型SAM进行研究，就其模型中的集合函数进行分析。
So, to study the convergence of powers of a fuzzy matrix is one of keys to study the stability of a fuzzy system.
所以，研究模糊系统的稳定性关键之一在于研究模糊关系矩阵的幂序列的收敛性。
Fuzzy matroid is a new fuzzy system originated with the introduction of notion 'fuzzy' into the theory of matroid.
模糊拟阵是将“模糊”概念引入拟阵理论而开创的一种新的模糊系统。
Combining with fuzzy system development environment tools, it attempts to push real applications of fuzzy technique.
结合模糊系统开发环境工具，试图将模糊技术推向实用化和产品化。
This paper presented a new approach for sensor fault detection and isolation in a t s fuzzy system with Gaussian white noises.
提出了一种传感器故障诊断的新方法，适用于高斯白噪声下的TS模糊系统。
This paper presents a prediction model of frequency parameters of short-wave communication based on non-singleton fuzzy system.
提出一种利用非单点模糊系统建模的短波通信频率参数预测模型。
The fuzzy-PID control arithmetic based on adaptive parameter is proposed by the characteristics of fuzzy system and PID system.
针对模糊系统和PID系统的特点，提出了模糊pid参数自调整的控制算法。
Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system.
然后本文提出了一种称为二进网络的全新神经网络，和一种称为二进模糊系统的全新模糊系统。
Fuzzy rule region-split method adopts the fuzzy system whose antecedents take the asymmetric Gauss function as membership function.
模糊逻辑系统的区域分割学习方法采用规则前件为不对称高斯型隶属度函数的模糊逻辑系统。
We transfer fuzzy system of nonlinear equations into a nonlinear programming. Then, some methods of nonlinear programming are used.
首先把模糊非线性方程组转变成非线性规划，再用非线性规划中的方法或软件来解。
A new kind of fuzzy time series model is presented by using a fuzzy system of linear equations with fuzzy coefficients and real variables.
利用模糊系数实变量的线性方程组建立了一种新的模糊随机时间序列模型。
While a fuzzy system is described by a fuzzy relational matrix corresponding to the fuzzy input, the fuzzy output and the fuzzy controller.
而模糊系统是用一个与输入、输出及控制项有关的模糊关系矩阵来描述的。
The logical models for safety analysis of fuzzy system were set up, they were different from the usual method based on the probability theory.
提出了模糊系统安全分析的逻辑模型。这一方法是与基于概率理论之上的方法完全不同的安全分析方法。
The paper is focused on studying the standard additive model of an additive fuzzy system, and function representations with the standard additive model.
对可加性模糊系统的标准可加性模型进行研究，用标准可加性模型进行函数表达。
A novel real-time intelligent decentralized control strategy applicable to the nonlinear, uncertain, fuzzy system of urban region traffic was presented.
针对城市区域交通非线性、不确定性和模糊性特点，提出了一种新颖的实时智能分散控制策略。
This paper uses the fuzzy system analysis to set up a regional L. R-L. P model, forecast with the parameter of the model and provide an auxiliary method.
本文用模糊系统分析的方法，建立一个地区的L.R— L.P模型，利用模型的参数进行预测，提供一种辅助方法。
This article describes a new type of fuzzy system with interpolating capability to extract MISO fuzzy rules from input output sample data through learning.
描述了一个通过学习从输入输出采样数据中提取MISO模糊规则的具有插值性能的新型模糊系统。
The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Fuzzy system identification and control is an important branch of the identification and control of general nonlinear system that is a complex research field.
非线性系统辨识和控制是一个复杂而又非常重要的研究领域，其中模糊系统辨识及其控制研究是一个重要的分枝。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
The fuzzy system is used to approximate the system uncertain function, and the fuzzy system function obtained is taken as system uncertainty boundary function.
利用模糊系统对不确定性函数进行逼近，将获得的模糊系统函数作为系统不确定性界函数。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
Fuzzy system is broadly used in the fields of control, signal process, communication, integrated circuit, Expert system, medical diagnosis and behavior science.
模糊系统广泛应用于控制、信号处理、通信、集成电路、专家系统、医药、行为科学等领域。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
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