点焊质量的模糊推理。
After fuzzy inference, the optimum processing method is obtained.
经过模糊推理之后得到最佳的加工方法。
The fuzzy inference is realized by the self-association capability of networks.
模糊推理则由网络的自联想功能完成。
A binary input output FAM system is built as an inference engine with parallel fuzzy inference.
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。
The mining subsidence prediction with combination of fuzzy inference and neural networks is investigated.
用模糊数学与神经网络结合的方法研究开采沉陷的预测。
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。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
医学诊断；机器学习；倒传递网路；适应性类神经模糊推论系统。
The application of Subtractive Clustering Fuzzy Inference System model to forecast short-term load is presented.
采用减法聚类辅助模糊推理系统进行电力系统短期负荷预测。
Then it utilizes fuzzy inference mechanism to infer the semantic relevance between each sentence and the event topic.
本文提出了基于句子特征分析和模糊推断的事件摘要实现机制。
Using these means, we have developed an expert system for the design of slew ring with capacity of fuzzy inference SRBES.
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。
Fuzzy clustering and fuzzy inference methods are used for recognizing expulsion phenomena during resistance spot welding.
分别使用模糊聚类分析和模糊推理的方法对点焊过程中的喷溅现象进行识别。
This paper discusses the application of the fuzzy logic and fuzzy inference to intelligent circuit board diagnosis system.
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。
The controller contains two parts, one is a conventional PID controller and another is an on-line fuzzy inference mechanism.
该控制器由两部分组成，一部分是常规PID控制器，另一部分是在线模糊推理机构。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
The parameter self-tuning realized by fuzzy inference can make the controller adapt to different control objects and various states.
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。
With the system, fuzzy expression of expert knowledge, multi-level organization of the knowledge base, fuzzy inference are realized.
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。
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。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
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。
Emitter data sometimes is unsufficient and uncertain, fuzzy inference was applied to realize emitter and target platform identification.
辐射源数据往往不完整或不确定，因此应用模糊推理实现了辐射源和目标平台的识别。
In the neural network corresponding to multidimensional fuzzy inference, the weights are adjusted by means of solution to fuzzy relation equation.
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。
Multiple small-regions of human targets are extracted through background subtraction, and their matching reliabilities are evaluated by fuzzy inference.
该方法通过背景减除提取人体目标的多个小区域，利用模糊推理评价出它们在相邻两帧间的匹配可靠度；
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。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
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).
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。
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.
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。
Given the fuzzy characteristic of rainfall weather and intensity, a fuzzy inference model of rainfall distribution and intensity of satellite cloud images was proposed.
在卫星云图降水分析中，针对降水天气和降水强度具有明显的“模糊”特性，提出了云图降水的模糊推理模型。
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。
In the paper, the premise structure of fuzzy model is obtained by the improved fuzzy clustering. Fuzzy inference matrices are decomposed on the basis of QR decomposition.
本文通过改进模糊聚类方法确定模糊模型的前件结构，然后对经模糊聚类得到的模糊前件推理矩阵进行QR分解。
In the paper, the premise structure of fuzzy model is obtained by the improved fuzzy clustering. Fuzzy inference matrices are decomposed on the basis of QR decomposition.
本文通过改进模糊聚类方法确定模糊模型的前件结构，然后对经模糊聚类得到的模糊前件推理矩阵进行QR分解。
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