The rules/inference engine is the part of the system that evaluates the rules based on the system state or user input.
系统中的规则/推论引擎根据系统状态或用户输入演算规则。
It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
Based on the feature of the expert system that the knowledge base and the inference engine are separate the shell function and the program function of the skeleton tool is researched.
根据专家系统知识库和推理机相分离的特点，研究骨架系统的两大功能：外壳功能和语言功能。
The architecture of the knowledge base system-KBMS is based on integrating data base and inference techniques. Module functions and some methods of improving system efficiency are presented.
本文介绍了基于推理技术和数据库技术相结合的知识库系统的体系结构，阐述了各模块功能，提出了几种改善系统效率的方法。
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.
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。
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。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
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。
The paper proposes computer Go system structure based on expert system design whose core parts are knowledge base and inference machine.
论文提出了基于专家系统设计思想的计算机围棋博弈系统结构，知识库和推理机是该系统的核心部件。
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。
The article introduction the distinguishes the expert system that can standard PSC rank based on the Rough Sets, the knowledge expression and the inference method.
文章主要介绍基于粗集方法的普通话等级判别专家系统的基本构成、知识表达方式及学习推理方法。
Based on the division of characteristic models of the system, the knowledge base, the data base, the rule base and the inference mechanism of expert system are designed meticulously.
根据系统特征模型的划分，精心设计专家系统的知识库、数据库、规则库和推理机。
A method of hybrid inference based on forward inference and backward inference strategies is achieved in designing extrusion step analysis expert system.
采用正向推理与反向推理相结合的方法，开发了用于挤压工步分析专家系统的混合控制策略。
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。
Noise canceling by using fuzzy inference system is studied. A kind of nonlinear noise cancellation algorithm based on T-S fuzzy model is proposed.
对模糊推理系统在噪声消除中的应用进行了研究，提出了一种基于T - S模糊模型的模糊非线性噪声消除算法。
And a inference engine design based on database and related technologies, combined with the practical experience to develop intelligent fault diagnosis system is discussed.
结合开发智能故障诊断系统的经验，讨论了数据库及其相关技术在推理机设计方面的应用。
A process parameters design system of resistance spot welding of aluminum alloys integrating case based reasoning, fuzzy inference and fuzzy neutral network (FNN) was developed.
采用集成基于事例推理，模糊推理，模糊神经网络(FNN)等多种人工智能推理技术，建立了铝合金电阻点焊工艺参数设计系统。
A novel hybrid neural fuzzy inference system is presented. Only based on the desired input output data pairs, are the knowledge acquisition and initial fuzzy rule sets available.
设计一种新型混合模糊神经推理系统，该系统仅从期望输入输出数据集即可达到获取知识、确定模糊初始规则基的目的。
The traditional components of an expert system, such us knowledge base, inference engine and user interface are reconstructed and integrated, based on the Microsoft Foundation Class (MFC) library.
基于微软基础类库（MFC），该专家系统将知识库、推理机和人机界面加以重构并形成一体。
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。
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。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。
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。
Application of the inference engine is also presented based on the instance of the system.
并结合系统实例，介绍了推理机的应用。
An expert system which is based on the fuzzy match inference strategy is developed. It can be used for the selection of separation technologies and sequencing of separators.
开发了一个基于模糊匹配推理策略的专家系统，可用于分离技术的选择和分离设备的排序。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
UAV is a complex mechatronic system, in order to meet the needs of fault diagnosis, based on the theory of fuzzy mathematics, and integrate case-based reasoning into fuzzy inference machine.
无人机是一个结构复杂的机电一体化系统，为了满足故障诊断的需求，以模糊数学理论为基础，并将案例推理融合到模糊推理机中。
UAV is a complex mechatronic system, in order to meet the needs of fault diagnosis, based on the theory of fuzzy mathematics, and integrate case-based reasoning into fuzzy inference machine.
无人机是一个结构复杂的机电一体化系统，为了满足故障诊断的需求，以模糊数学理论为基础，并将案例推理融合到模糊推理机中。
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