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。
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。
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。
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。
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。
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。
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。
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。
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 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。
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。
The inference engine consists of diverse inference trees of monitor system, control aim and control method.
推理机由监测系统推理树、防治目标推理树和防治方法推理树组成。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
A new slide mode controller is designed for AC servo system. The feed forward signal is used as average control, and fuzzy inference is used to regulate the magnitude of on-off control.
针对交流伺服系统的位置控制，设计出一种新型滑模控制器，以前馈信号作为平均控制，采用模糊推理来调节开关控制的幅度。
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。
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。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
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。
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。
The overall structure, control strategies and inference engine of mechanical design expert system i. s one of the key problems to solve complex mechanical design problems efficiently.
机械设计专家系统的总体结构和推理控制机制是求解复杂机械设计问题，高效完成设计的关键问题之一。
The overall structure, control strategies and inference engine of mechanical design expert system i. s one of the key problems to solve complex mechanical design problems efficiently.
机械设计专家系统的总体结构和推理控制机制是求解复杂机械设计问题，高效完成设计的关键问题之一。
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