在保证性能的基础上，利用训练好的模糊推理系统对材料的成分进行优化，减少贵重元素的加入量。
The alloy composition can be optimized by the neural-fuzzy method thereby enabling them to replace the more ex-pensive noble elements with lower cost material having comparable mechanical properties.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
针对数控机床进给系统特点及其性能要求提出了一种参数自整定模糊pid控制器，利用模糊推理的方法实现对PID参数的在线自动调整。
Based on the feature of the nc system and its performance demands, this paper brings forward a self-adaptive fuzzy PID controller to realize PID parameters self-adaptive online.
运用这一手段，我们开发成功了具有模糊推理能力的回转支承设计专家系统SRBES。
Using these means, we have developed an expert system for the design of slew ring with capacity of fuzzy inference SRBES.
提出了一种自学习模糊逻辑推理网络的系统设计方法。
This paper has presented a method of designing a learning fuzzy logic reasoning network system.
为了解决常规卡尔曼滤波法存在的不足，给出了用模糊推理系统与卡尔曼法相结合的方法。
In order to resolve the shortcomings of the traditional Kalman filtering, a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.
根据自适应神经模糊推理系统原理，设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。
Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system(ANFIS).
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
首次提出了采用自适应神经模糊推理系统(ANFIS)建立全局负荷模型，描述电力负荷的非线性、变结构特性。
ANFIS (Adaptive Neural Fuzzy Inference System) is first presented to obtain the global load model for describing the nonlinear characteristics of the electric load in the paper.
本文介绍了一种基于模糊推理决策的智能化多点温度巡回监测系统。
This paper presents an intelligent multi point temperature scanning monitoring system based on the fuzzy inferential decision.
该系统采用了故障逆向推理机制、模糊神经网络技术和软件自校准技术，有效地提高了系统的可靠性、灵活性。
Based on the technology of fault converse inference, fuzzy nerve network and software adjusting itself etc, this system's reliability and flexibility is greatly enhanced.
此外，还开发了用以形成模糊专家系统框架核心的推理机制，并通过线性模糊矩阵代数运算予以实现。
Moreover, a fuzzy inference mechanism was developed to form the core of fuzzy expert system frame, which could be realized through linear fuzzy matrix algebra.
模糊控制技术能利用控制规则，模拟人脑的推理过程，通过对输入量模糊化和综合推理，可以弱化数据不准确对系统的影响。
Fuzzy control technologies that apply control rules to simulating the inference process of man's brain can diminish the affect on the system by data inaccuracy.
为了提高机载光电跟踪伺服控制系统的控制性能，提出了一种基于模糊推理的变论域自适应控制算法。
In order to improve the control performance of airborne electro-optical pointing and tracking systems, a variable domain control system based on fuzzy inference, is presented.
以某飞机机载专家系统为例，具体阐述了一种利用L IS P语言对加权模糊推理专家系统进行实现的方法。
This paper designs a method of the expert system of fuzzy reasoning with weights achieved by LISP language through describing a sample of expert system applied on aircraft.
模糊关系方程的求解问题是模糊集与系统中极其重要的研究课题之一，大部分模糊推理系统都可以通过模糊关系方程实现。
The resolution problem of fuzzy relation equations (FRES) is a very important subject in fuzzy sets and systems, the majority of fuzzy inference systems can be implemented by using FERS.
为同时抑制时滞及非最小相位系统的超、负调和加快系统响应，本文提出一种基于模糊推理的智能内模控制系统。
Aiming to decrease overshoot, undershoot and settling time of non-minimum phase system with time delay, this paper proposes an intelligent IMC control system based on fuzzy inference.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于TS模型的自适应神经模糊推理系统(ANFIS)建模方法。
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
研究了冷挤压工艺设计领域的知识表示以及冷挤压工艺设计系统的模糊推理机制。
The knowledge representation methods and fuzzy reasoning mechanism of a cold extrusion process planning system were researched.
论文提出一种模糊强化学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
In this paper, we propose a fuzzy reinforcement algorithm, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
目的研究故障诊断专家系统的模糊推理算法。
Aim To study the synthetic fuzzy algorithm applied in fault diagnosis expert system.
首先，提出一种模糊Q学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
该系统实现了知识的模糊表示，知识库的层次性组织、知识的模糊推理等。
With the system, fuzzy expression of expert knowledge, multi-level organization of the knowledge base, fuzzy inference are realized.
在专家系统的模糊推理中，基于相似度的方法是一种简便而又重要的方法。
In the fuzzy reasoning of expert system, similarity-based fuzzy reasoning method is a kind of simple and important method.
基于模糊推理和BP神经网络的故障诊断模块(系统)具备良好的故障诊断能力。
Faults diagnosis module based on blur discursion and BP nerve network is used here for its preferable ability of faults diagnosing.
基于模糊推理和BP神经网络的故障诊断模块(系统)具备良好的故障诊断能力。
Faults diagnosis module based on blur discursion and BP nerve network is used here for its preferable ability of faults diagnosing.
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