Besides, the model updates fuzzy rules based on immune automatically and constantly to improve the ability of detecting new intrusions.
另外，模型自动更新了基于免疫的模糊规则，从而可以提高检测新的网络入侵的能力。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The intelligent method based on performance feedback and parameter self-tuning controller based on rules have been proposed, which simplify the design of intelligent fuzzy control algorithm.
提出了性能反馈的智能控制方法和基于规则的控制器参数自调整机制等智能控制策略。并简化了智能模糊控制算法的设计。
Based on the analysis of self-adaptive fuzzy control and the influence of PID control parameter changes, the rules of fuzzy adjustment of PID parameters in a dynamic process is put forward.
在分析自适应模糊控制及PID参数变化对系统性能影响的基础上，提出在动态过程中对PID参数进行整定。
Based on the analysis of self-adaptive fuzzy control and the influence of PID control parameter changes, the rules of fuzzy adjustment of PID parameters in a dynamic process are put forward.
在分析自适应模糊控制及PID参数变化对系统性能影响的基础上，提出在动态过程中对PID参数进行整定。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
Based on above work, in the third part, actualize fuzzy rules automatic generation applying fuzzy RBF neural net.
第三部分，在前述工作基础上，用模糊rbf神经网络实现模糊规则的自动获取。
A new scheme of adaptive fuzzy damping controller of TCSC, based onadjusting control rules and output scaling factor, is proposed.
提出了基于可调模糊规则及可调输出尺度变换因子的TCSC自适应模糊阻尼控制器的设计方法。
Based on the above problem this paper presented a method called association rules mining with fuzzy quantitative constraints.
基于上述问题，提出了一个基于模糊数值约束的关联规则挖掘方法，实际挖掘结果表明这种方法是有效的。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
The stable design rules of the fuzzy PID controller were obtained based on its relationship with the traditional PID controller.
最后利用模糊PID控制器与传统PID控制器的联系，进一步推算出符合稳定性要求的模糊PID控制器设计规则。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
This strategy is based on fuzzy rules and fuzzy reason mechanisms in order to be suitable for the environment of the incomplete and uncertain trade information of e-commerce.
此策略运用了模糊规则和模糊推理机制，能很好地适应交易信息的不完整性和不确定性。
The experimental results show that the control scheme based on the hierarchical fuzzy controller is efficient and convergent quickly because of its advantage in less fuzzy rules.
实验结果表明：分层模糊控制的模糊规则少、收敛速度快、控制效果好，具有较强的实用性。
Fuzzy control was based on rules base, and gave control decisions with absolute or increment form.
模糊控制基于规则库，并以绝对或增量形式给出控制决策。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
A hierarchic classification diagnosis model, based on fuzzy membership grade and rules is being proposed.
提出了一个基于模糊隶属度和规则的分类层次诊断模型。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
This paper presents a research on the structure of fuzzy controller's rules based on the limiting structure theorem.
根据模糊控制器的解析结构，基于极限结构理论对模糊控制器规则进行结构辨识。
Finally, referring the intelligent control theory, the self-adjusting parameter PID control strategy based on the fuzzy logic rules is introduced.
结合智能控制理论，提出了基于模糊规则的适应式参数自调整PID控制策略。
Combining rough set theory with fuzzy logic technology, this paper has presented a method of gaining fuzzy control rules based on measured data.
将粗糙集理论与模糊逻辑技术相结合，提出了一种通过测量数据来获取模糊控制规则的方法。
It proves that the fuzzy controller based on the rules of experts is effective on the nonlinear, indefinite and inertial system.
结果证明，采用基于专家规则的模糊控制算法对于这种非线性、不确定的大惯性系统有着良好的控制效果。
This is a method that combines PI control with fuzzy control, realizes on line approximately auto-regulating control of PI speed control parameter of hydraulic turbine governor based on fuzzy rules.
这是一种把PI控制与模糊控制有机地结合在一起的方法，能够实现水轮发电机组PI调速器参数按模糊规则近似进行在线自动调整的控制。
This is a method that combines PI control with fuzzy control, realizes on line approximately auto-regulating control of PI speed control parameter of hydraulic turbine governor based on fuzzy rules.
这是一种把PI控制与模糊控制有机地结合在一起的方法，能够实现水轮发电机组PI调速器参数按模糊规则近似进行在线自动调整的控制。
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