首先，介绍了模糊模式识别的有关概念；
This paper has threefold: 1) to review and introduce some conceptions about the fuzzy pattern;
模型的激励函数采用了模糊模式识别模型。
The Fuzzy Pattern Recognition Model developed by Chen Shouyu is used as the stimulation function of hidden nodes.
建立了模糊模式识别模型，定义了诊断参数。
A fuzzy pattern discernment model has been developed and the diagnosis parameters have been defined.
并结合模糊模式识别理论，建立了流型的模糊判别准则。
Combined with fuzzy pattern recognition theory, the fuzzy identification criterions of flow patterns are established.
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 method can also be applied to fuzzy pattern recognition on fruits, machine parts etc.
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 experimental results of model establishment and application example of recognizing flaws by fuzzy pattern recognition are also given.
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。
The mathematics model of identifying corn breed was established using 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。
The fuzzy measure and compatibility of fuzzy sets of type O have importantapplied values in fuzzy reasoning and fuzzy pattern recognition.
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。
In fuzzy pattern recognition, it is often to classify the sample according to the principle of maximum membership degree.
应用改进的基于数域上的模糊模式识别方法，综合多条测井曲线进行自动分层。
Multiple well logging curves are zoned automatically by developed fuzzy identification based on number field.
将模糊模式识别理论模型与级别变量特征值相结合，形成改性模糊模式识别法。
By combining the fuzzy recognition model with the eigenvalues of grade variables, an improved fuzzy recognition model is established.
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。
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.
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。
By analysing the relation among object attribute, this paper introduced a classification method based on improved multiple fuzzy pattern recognition.
文章依据模糊模式识别和专家系统的基本原理，研制出一类模糊专家系统的判识方法。
According to the basic theory of fuzzy model recognition and expert system, this paper develops a recognizing approach to fuzzy expert system.
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。
A new method of fuzzy pattern recognition is put forward by considering the importance of eigenvector in recognizing fuzzy pattern.
对于具有多模糊特征变量的多分类问题，自动提取适当的模糊模式识别规则集至关重要。
It's important to extract an appropriate fuzzy rules set for multi-classification problems that have fuzzy variables.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
根据多个可行方案，用同时确定目标的权重和方案隶属度模糊模式识别交叉迭代模型进行优选。
Schemes are optimized by using a fuzzy pattern-recognition crossover iteration method, which gives the objective weight and the relative membership degree of alternative at the same time.
然后依据典型的模糊评价子集并利用择近原则进行模糊模式识别，判断出脚手架所处的安全状态。
According to the classic fuzzy evaluation subsets and near rule in fuzzy mode identification, the safety state of falsework can be determined subsequently.
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。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
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.
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。
Methods According to the modified fuzzy relative entropy formula, the application of fuzzy relative entropy for fuzzy pattern recognition is studied.
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。
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.
第一层和第二层的输出采用二级模糊模式识别模型计算，第三层的输出采用多级模糊模式识别模型计算。
The outputs of the first and second layers are both calculated by duel-pole fuzzy pattern recognition models, and that of the third is by multi-pole fuzzy pattern recognition model.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
应用模糊模式识别方法及最大隶属原则，建立了凝汽器故障诊断模型，并以实例验证该模型识别故障的准确性。
By applying fuzzy pattern recognition and maximum membership rule, fault diagnosis model for condenser has been established and its accuracy for identifying faults is tested and verified.
应用模糊模式识别方法及最大隶属原则，建立了凝汽器故障诊断模型，并以实例验证该模型识别故障的准确性。
By applying fuzzy pattern recognition and maximum membership rule, fault diagnosis model for condenser has been established and its accuracy for identifying faults is tested and verified.
应用推荐