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art model
    The Application of Artificial Neural Network ART Model in Fault Diagnosis
    神经网络ART模型在故障诊断中的应用
    ACHIEVEMENT OF INTELLIGENT DATABASE SYSTEM USING IMPOVED ART MODEL
    用改进的ART模型实现智能数据库系统
    The Group for Curve Parts of Ship Shells Based on ART Model
    基于ART模型的船体曲面零件成组分类
    This paper discusses the application of ART in fault diagnosis in dieselengines,giving a method of fault pattern recognition by ART Model and the example of application.
    将人工神经网络应用于柴油机故障诊断,给出了一种利用自适应共振理论(ART模型)的故障模式识别方法及应用实例。
    Firstly,the basic structure of improved ART model (Pao's neural net-work)-self-organizing neural network and its learning algorithm are discussed.
    侯俊胜尉中良:自组织神经网络在测并资料解释中的应用,测井技术,1996(3)20,197~200。 本文描述了自组织神经网络──改进的ART模型(包氏神经网络)的基本结构及其学习算法;
    The paper, which is base on the current status of domestic and abroad economic evaluation of construction projects, studies the economic evaluation index system of forest industry construction projects and the classification of the those projects, states the functions and character of the index system, the principle and structure of index system, and calculation and specification of index, gives the ART model used for forest industry construction projects.
    本文在分析国内外基建项目经济评价工作现状的基础上,对林业森工基建经济评价指标体系和项目分类进行了研究,阐述了指标体系的作用、特征、指标体系建立的原则与构成、指标间计算与说明。 指出了林业森工基建项目分类的ART模型,并借助该模型进行了具体的分类计算;
    By analyzing the standard ART model and intrusion detection respectively, the dissertation presents two modified ART models, in order to make the clustering results orderly and hierarchical when applying ART to intrusion detection.
    本文在综合分析经典ART模型和入侵检测特点的基础上,提出了两种改进的ART模型,分别用来解决经典ART模型用于入侵检测时聚类的无序性和无层次性这两个问题。
    We also introduce the principle of using several neural network models to meet technical requirements for Holter system,including:the use of multilayer perceptron model in data compression and classification; the use of high order neural network model in classifying ECG,and the use of ART model in recognizing T-wave and P-wave of ECG.
    还介绍了几种用神经网络模型满足Holter系统技术要求的原理,包括用多层感知器实现数据压缩及分类,用高阶神经网络实现ECG的分类,以及用ART模型(AdaptiveResonanceTheory)识别ECG中的P波与T波。
    Artificial neural net has the ability to be adaptive and can be self-study, cemented carbide cutting expert system which is based on artificial neural net uses it as the core arithmetic . After being trained, this expert system can use the ART model to recognize the cutting condition intelligently , and it can choose the best grade of cemented carbide for user.
    基于人工神经网络的硬质合金切削专家系统采用了具有自适应和自学习的人工神经网络为核心算法 ,利用经过训练的 ART模型对切削条件进行智能识别 ,可根据加工条件为用户推荐出最佳的硬质合金牌号 ,解决用户在选择刀片牌号中所遇到的困难 ,从而提高切削加工效率。
    Adaptive network model is equipped with a fast identifying ability in capturing the learned objects,and in the meantime it can adapt the new objects. The superiority of ART model can be directly applied to multiple targets tracking.
    自适应网络模型 ART对已学习过的对象具有稳定的快速识别能力 ,同时又能适应未学习的新对象 ,ART模型的这种优势可直接应用于雷达的多目标跟踪。
    Data association of multple targets tracking by using ART model is proved to be effective through simulation experiment.
    经过仿真验证 ,利用 ART模型解决多目标跟踪数据关联问题的方法较为有效。
 

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