研究基于实例模型的模糊推理方法。
模糊推理则由网络的自联想功能完成。
The fuzzy inference is realized by the self-association capability of networks.
经过模糊推理之后得到最佳的加工方法。
After fuzzy inference, the optimum processing method is obtained.
从而提高模糊推理表示和处理知识的能力。
Thus, the capability of representing and processing knowledge for fuzzy reasoning is enhanced.
给出了模糊推理规则表。
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.
点焊质量的模糊推理。
该控制器通过模糊推理实现PID控制器参数的在线调整。
The controller achieves the adaptation of normal PID controller parameters on line by fuzzy inferences.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
建立了基于二值输入输出模糊联想系统的并行模糊推理机制。
A binary input output FAM system is built as an inference engine with parallel fuzzy inference.
研究模糊推理的问题，提出了一种真值传播的计算公式与方法。
Study on fuzzy argumentation problems, a calculation of truth in fuzzy reasoning is presented.
基于模糊推理技术和基于可信度方法实现非精确推理模型的设计。
Realization the the imprecise reasoning model based on the Fuzzy reasoning technology and the Certain factors method.
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.
本文简要讨论了模糊逻辑、模糊推理在智能电路板故障诊断中的应用。
This paper discusses the application of the fuzzy logic and fuzzy inference to intelligent circuit board diagnosis system.
该模型将评估过程视为模糊推理过程，并以此构建融合中心的结构模型。
In this model, the process of assessment is viewed as that of the fuzzy reasoning, and the structure model of fusion center is constructed.
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.
型模糊集的模糊度和贴近度在模糊推理和模糊模式识别中有重要应用价值。
The fuzzy measure and compatibility of fuzzy sets of type O have importantapplied values in fuzzy reasoning and fuzzy pattern recognition.
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.
网络的输入输出均为模糊集，训练后的网络能完成合成关系，即模糊推理。
The input and output of the network are fuzzy sets, and the network can complete composite relation after training, namely fuzzy reasoning.
变工作排量；模糊推理；行驶工况判断；驾驶员意图识别；控制技术；应用。
Variable power displacement; Fuzzy reasoning; Judgment of running state; Identification of driver's intention; Control technology; Application.
通过模糊推理实现参数自调整，以使控制器能够适应不同对象和对象的不同状态。
The parameter self-tuning realized by fuzzy inference can make the controller adapt to different control objects and various states.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
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.
其中在多重模糊推理神经网络中，通过求解模糊关系方程的方法来确定网络的权值。
In the neural network corresponding to multidimensional fuzzy inference, the weights are adjusted by means of solution to fuzzy relation equation.
分析工业X射线底片焊缝缺陷特征，建立用于焊缝缺陷分类识别的模糊推理系统模型。
Weld defects classification system based on fuzzy reasoning model was established, after analysis of weld defect features in X-ray films.
模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
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