The inference mechanism in HEST is flexible and practical and the inference control is convenient.
它的推理机制灵活而实用，控制方便。
The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
In the realization of the inference engine, the forward inference control strategy and the deep-prior search strategy are preferred.
在推理机制的实现上，系统采用正向推理的推理控制策略和深度优先的搜索策略。
Inference control in databases is a key field of multilevel secure database system (MLS-DBS) and is an important means to achieve database security.
数据库推理控制是研究高安全等级的安全数据库系统的关键技术之一，是保障数据库安全的重要手段。
Experimental result shows the improvement of the effectiveness of the inference system and it has the same security as the static inference control method.
实验结果表明，该方法可提高推理系统的有效性，且与静态推理控制方法有相同的安全性。
The existing problems in bottom tower control of butadiene rectifying tower in certain plant are investigated. The inference control strategy based on soft measurement is stated.
研究了某厂丁二烯精馏塔塔底控制回路目前存在的问题，提出了基于软测量的推断控制方案。
Process knowledge expression, obtain, management technology, inference control strategy, explanation mechanism, and the application of they are used in CAPP system are introduced.
介绍了工艺知识表达、获取和管理技术，以及推理控制策略、解释机制，及其在CAPP系统中的应用。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
The correspond to oil field experience expert system knowledge base and expression have been established, positive and negative mixed inference control strategies have been designed in this system.
根据系统改造设计中所需的领域知识，建立了相应的专家系统知识库及表达形式，设计出正反混合推理的控制策略。
This method provides each axis with an additional compensating function according to the contour errors by adaptive fuzzy inference control, so the CNC system contour machining accuracy is modified.
该方法依据系统的轮廓误差，通过自适应模糊控制手段向各联动轴提供附加补偿作用，进而提高CNC系统的轮廓加工精度。
According to these relations, rules of inference control are generated and used to modify the data queried by generic users dynamically and most parsimonious ly so as to eliminate inference channels.
利用这些规则对数据库系统返回给普通用户的数据动态地做最小修改，防止推理通道的产生。
The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.
讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。
Aiming at the problem of guided bombs in low precision, this paper presents a kind of intelligence control system of guided bomb based on Adaptive Neuro-Fuzzy Inference system (ANFIS).
针对目前制导炸弹命中精度低的问题，提出一种基于自适应神经模糊推理系统(ANFIS)的制导炸弹智能控制系统。
A new superheated steam temperature control system design scheme is proposed, the main controller design is based on Adaptive Network-based Fuzzy Inference system (ANFIS).
提出一种新型的过热汽温控制方案，主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
Blurring control is a kind of computer digital controlling technology on the basis of blurring set theory, blurring language variable and blurring logical inference.
模糊控制是以模糊集合论、模糊语言变量及模糊逻辑推理为基础的一种计算机数字控制技术。
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.
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。
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.
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。
In this paper, we present an Adaptive Network-based fuzzy Inference system (ANFIS), based on a neuro-fuzzy controller, as a possible control mechanism for a ship stabilizing fin system.
提出基于自适应网络模糊推理系统(ANFIS)的神经模糊控制器作为船舶减摇鳍系统的控制装置。
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。
A solution as compensating the controlled quantity by fuzzy inference is put forward in this paper to the problem of model mismatch caused by the predictive function control.
针对预测函数控制中模型失配的影响，提出了用模糊推理对控制量进行补偿的新型预测函数控制。
The standard value of the tested software to pass the test was then obtained from the fuzzy control relation and fuzzy inference rules, thus quantifying the judgment for software to pass the test.
基于这种模糊控制关系和模糊推理规则，得到了被测软件通过测试的标准值，使测试通过的判定得以量化；
The integration uncertain border value is estimated by fuzzy inference and the soft switch control is accomplished by tanh (x) function replacing SGN (x).
根据模糊推理估计集成不确定边界，利用双曲正切函数代替符号函数实现软切换连续控制。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
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.
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。
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.
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。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
New fuzzy control algorithm was proposed using pattern matching rather than the traditional fuzzy control algorithm which was based on fuzzy logical inference.
提出了一种新的模糊控制算法，传统的模糊控制算法是基于模糊逻辑推理的，而这种算法是基于模式匹配的。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
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.
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.
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。
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