pattern classifier
英 [ˈpætn ˈklæsɪfaɪə(r)]
美 [ˈpætərn ˈklæsɪfaɪər]
网络 模型识别; 型样分类器
双语例句
- Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。 - In response to the dilemma for pattern recognition by single classifier toward strip surface defects, a novel classification algorithm territory method was proposed.
针对现有带钢表面缺陷模式识别分类器所用算法的不足，提出了一种新型的分类算法&版图法。 - An intelligent pattern classifier with B-P type neural network was used in studying the learnt effect of network and the recognition ability for unknown flaws.
作者采用B-P型反向传播神经元网络构成了智能化模式分类器，研究了网络模型的学习效果和对未知缺陷的分类识别能力。 - On pattern classifier designing for N terminal peptide sequence of pathogen H.pylori genome
幽门螺杆菌N-末端肽序列的模式分类 - A Nonparametric Multiclass Pattern Classifier Used for the Prediction of Earthquake Occurrence Locations
用于发震地点预报的一种非参数模式分类器 - Meanwhile, the subimage pattern classifier is designed based on BP artificial neural network, all of the subimage pattern classifying results are arrayed a matrix, and the pavement surface distress image feature is represented by this matrix.
同时，设计了基于BP人工神经网络的子块图像模式分类器，利用子块图像模式分类结果所组成的矩阵作为路面破损图像分割结果。 - Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.
文中介绍了电梯交通流模式识别的设计流程，并建立了相应的电梯交通流模式识别器。 - This paper presents the application of a recently-developed pattern classifier called support vector machine ( SVM) in expressway incident detection.
文章采用一种新的模式识别技术&支持向量机（SVM），来进行高速公路的事件检测。 - A new nonlinear pattern classifier
一种新的非线性模式分类器方法 - By structuring risk minimization principle and kernel function method, it solves the contradictions between the complicacy and generalization of pattern classifier preferably, which arouses people concentrating on the domain of pattern identification.
它通过结构风险最小化准则和核函数方法，较好地解决了模式分类器复杂性和推广性之间的矛盾，引起了大家对模式识别领域的极大关注。 - An adaptive processing system of quasi-stationary signal is proposed in this paper, which consists of three subsystems: adaptive feature extractor, detector of abrupt change and pattern classifier.
本文讨论了准平稳信号自适应处理中的特征提取、自适应平稳分段和自适应聚类与识别问题。 - The method of auto-classification of reservoirs using the pattern classifier based on self-organizing feature map
基于自组织映射网络的模式分类器对储产层自动分类方法研究 - This algorithm integrates non-determinate finite automata and dynamic data structure of sub-population. It can perform structure learning for a neural network pattern classifier efficiently to obtain the optimal result of problem solving.
该算法综合了非确定有限自动机和次群体的动态数据结构，可有效地完成神经网络模式分类器的结构学习，以获得最优的求解结果。 - The primary construction and its implementation of multidimensional asynchronous pattern classifier were presented. On line optimization of classification threshold can be finished by a learning program based on Bayes minimum error law or Bayes minimum risk law.
介绍了异步多维模式分类器的基本结构和实现方法，根据Bayes最小错误分类原则或Bayes最小风险分类原则，可通过学习程序实现分类阈值的在线寻优。 - Recognition of Heart Rate Variability Signal Using Fuzzy Associative Memory Pattern Classifier
基于模糊联想记忆模式分类器的心率变异性辨别 - Face detection is important in automatic face recognition. The difficulty in training a face pattern classifier as face detector is due to the diversity and complexity of face characteristic.
人脸检测在自动人脸鉴别工作中具有重要的意义，由于人脸图像特征的复杂性和多样性，使得人脸模式分类器的训练十分困难。 - Application of belief network in pattern recognition classifier
置信度网络在判别分析中的应用 - At last, in order to effectively classify the IR images of airplanes under complicated condition in imaging fuzes, a pattern classifier is built with the fusion techniques of neural networks and fuzzy systems.
提出了在成像引信飞机图象识别中，如何利用神经网络和模糊系统的融合技术构造一个模式分类器，来有效地对复杂弹目交会条件下的飞机红外图象进行分类。 - Design of a high performance classification system is pursued in the field of pattern recognition. Multiple classifier systems ( MCS) based on combining multiple classifiers are proposed and proved to be effective in improving classification performance.
设计高性能的分类系统是模式识别研究领域追求的目标，多分类器系统MCS是实现该目标的一个有效途径。 - A self-growing neural tree network pattern classifier
一个自生成的神经树网络模式分类器 - Knowledge discovery on oil fault diagnosis system ( OFDS) is essentially a problem of pattern classifier and recognition. Based on Rough set theory and tribology system, knowledge discovery model of OFDS is proposed.
油液故障诊断系统的知识发现本质上是一个模式分类与识别的问题，结合RoughSet理论和摩擦学系统的特点，建立了油液故障诊断系统知识发现模型。 - On-line Pattern Classifier of Tea
茶叶分拣在线模式分类器 - The proposed pattern classifier can adaptively recognize the largest traffic flow floor in the building.
建立的分类器可以根据交通流数据的变化，自适应地识别出建筑物内的最大客流层及次大客流层（厅堂除外）。 - An evolutionary algorithm for learning of a neural pattern classifier
神经元模式分类器学习的进化计算算法 - On the other hand, two new set membership identification algorithms are given by viewing set membership identification as construction a pattern classifier to decide which class a point belongs to.
另一方面，将集员辨识视为设计模式分类器对参数空间中的点进行分类的过程，构造了两种新的集员辨识算法。 - In addition, in order to further speed up the detection rate in the new scenes, a general ternary detection pattern based cascade classifier structure was proposed.
另外，为了进一步提高在新场景下的行人分类检测的速度，提出一种通用的三分检测框架。 - A method that using the BP neural network to classify the grasping mode of the large flexible three-fingered hand was proposed, and the BP neural network grasping pattern classifier was established, and verified it is feasible of the classifier by the test samples.
提出用BP神经网络来分类大柔性三指手爪抓取模式的方法，建立了BP神经网络抓取模式分类器，并通过检验样本验证了用分类器分类手爪抓取模式是可行的。 - Based on the atmospheric characteristics of CI activity, interpolation and mask processing technology are used to pre-process satellite images. In accordance with the characteristics of the atmosphere CI activity, design the corresponding checker pattern classifier.
为此，本文在对大气CI活动特征进行分析的基础上，采用图像处理技术对卫星图像进行插值、掩模等前期处理，并根据大气CI活动特征，设计对应的模式分类判别器。 - In methods of pattern matching and classifier designing, an improved Hamming distance classifier and a weighed Euclid distance classifier are applied for pattern matching according to different algorithms.
在模式匹配与分类器设计的方法上，根据不同算法所提取特征的不同，分别采用改进的Hamming距离分类器和加权欧式距离分类器进行模式分类。 - Build recognition disease recognition model of leaves, established pattern recognition classifier; fuzzy identification with principles of membership identification method.
在此基础上，逐步构建可以识别病害叶片的识别模型，创建针对性的模式识别分类器；采用基于隶属度原则的识别方法来进行模糊识别。