This paper introduced a Fuzzy Pattern Comparison System.
本文介绍了模糊图形比较系统。
Using the fuzzy pattern recognization, the variables are arranged in order.
利用模糊模式识别方法，对变量进行排序。
In this paper, we use fuzzy pattern recognition method to judge bonding quality.
本文用模糊模式识别方法对薄板粘接质量做出定量识别。
This method can also be applied to fuzzy pattern recognition on fruits, machine parts etc.
该方法同样适用于果品、机械工件等对象的模糊模式识别。
This paper has threefold: 1) to review and introduce some conceptions about the fuzzy pattern;
首先，介绍了模糊模式识别的有关概念；
The mathematics model of identifying corn breed was established using fuzzy pattern recognition.
应用模糊数学中的模糊模式识别建立识别玉米种子品种的数学模型。
A fuzzy pattern discernment model has been developed and the diagnosis parameters have been defined.
建立了模糊模式识别模型，定义了诊断参数。
The Fuzzy Pattern Recognition Model developed by Chen Shouyu is used as the stimulation function of hidden nodes.
模型的激励函数采用了模糊模式识别模型。
Combined with fuzzy pattern recognition theory, the fuzzy identification criterions of flow patterns are established.
并结合模糊模式识别理论，建立了流型的模糊判别准则。
In fuzzy pattern recognition, it is often to classify the sample according to the principle of maximum membership degree.
在模糊模式识别中经常要根据最大相似度原理来分辨待测样品属于哪种模式。
The proposed fuzzy pattern recognition model under fuzzy environment is applied to theevaluation of groundwater vulnerability.
把模糊环境下的模糊识别理论具体应用到地下水脆弱性评价中。
So it proved the rationality and reliability that fuzzy pattern recognition method applied in water quality evaluation of lakes.
证实了模糊模式识别方法应用于湖泊水质评价中的合理性和可靠性，对于湖泊水质评价具有实际意义。
A new method of fuzzy pattern recognition is put forward by considering the importance of eigenvector in recognizing fuzzy pattern.
考虑了模糊特征分量对识别模糊模式的重要程度，给出了一种新的模糊模式识别方法。
The experimental results of model establishment and application example of recognizing flaws by fuzzy pattern recognition are also given.
给出了用实验方法建模的结果和缺陷模糊模式识别应用示例。
The fuzzy measure and compatibility of fuzzy sets of type O have importantapplied values in fuzzy reasoning and fuzzy pattern recognition.
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。
In addition, the method of fuzzy pattern recognition was approached which made the performance evaluation of relay and its design to be realized.
同时，探讨了模糊模型的识别方法，从而实现了对继电器产品及其设计方案的性能评价。
Methods According to the modified fuzzy relative entropy formula, the application of fuzzy relative entropy for fuzzy pattern recognition is studied.
方法利用模糊相对熵的一个修正公式——加权模糊相对熵研究模糊相对熵在模糊模式识别中的应用。
By analysing the relation among object attribute, this paper introduced a classification method based on improved multiple fuzzy pattern recognition.
通过分析对象属性间的关系，提出了一种基于改进的多级模糊模式识别的分类方法。
A new approach of classification of short duration power quality disturbances using generalized S-transform and fuzzy pattern recognition is proposed.
针对电能质量的短时扰动的分类问题，提出了一种基于广义s变换和模糊模式识别的短时电能质量的分类方法。
Results The numerical example shows that fuzzy relative entropy method and maximum minimum closeness method have the same results for fuzzy pattern recognition.
结果数值例子说明模糊相对熵方法和最大最小贴近度方法得出了一致的模糊识别的结果。
Based on fuzzy set theory, we bring forward a new concept: similarity degree of waveforms, and use fuzzy pattern identification method to classify ECG waveforms.
本文从模糊集合的角度，提出了波形相似度的概念，并采用模糊模式识别方法，基于波形间的相似度对心电波形进行分类。
Based on fuzzy C-Means algorithm (FCM) and fuzzy Min-Max Neural Networks, an integrated algorithm for fuzzy pattern recognition using hypercube set was proposed.
结合模糊c均值算法(FCM)与模糊最小最大神经网络算法，提出一种基于超长方体集的模糊模式识别算法。
A system of number recognition with a graphic user interface (GUI) is implemented on the embedded development platform by using the fuzzy pattern recognition method.
在嵌入式开发平台上实现具有图形用户界面(GUI)的模糊模式数字识别系统。
The recognition of irregular polygon is very important in figure recognition. In this paper, irregular triangle and square is studied using fuzzy pattern recognition.
不规则多边形的识别是图形识别的重要内容，本文研究不规则三角形和四边形的模糊识别问题。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
介绍模糊数学的基本概念，建立了用于缺陷模糊模式识别的两种数学模型，即模糊集法与模糊聚类法。
This paper extracts visible features, and uses multi -features fuzzy pattern recognition to create subjection function in order to judge the relationship by statistic data.
在多级模糊模式识别模型的基础上 ，提出了一种改进的多级模糊模式识别方法。
The fuzzy pattern recognition is used to analyze the water resources shortage types of Handan City which can definite the emphasis points about the water resources optimization.
运用模糊模式识别模型对邯郸市水资源短缺类型进行分析，明确该地区水资源优化配置工作的重点。
The fuzzy pattern recognition is used to analyze the water resources shortage types of Handan City which can definite the emphasis points about the water resources optimization.
运用模糊模式识别模型对邯郸市水资源短缺类型进行分析，明确该地区水资源优化配置工作的重点。
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