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art模型
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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
短句来源
     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
短句来源
     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。
短句来源
     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;
短句来源
     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。
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  art mode
     Based on the study on ART mode neural network, mathematic model process is analyzed, structure of neural network for fault diagnosis is studied, and the program for fault diagnosis in hydraulic system is made by MATLAB. Further, Sample system of fault diagnosis is built for hydraulic system in filter press.
     基于对ART模型神经网络原理的深入研究,具体阐述神经网络的数学模型步骤,研究压滤机液压系统故障诊断神经网络的构造方法,利用MATLAB语言编制压滤机液压故障诊断系统程序,并建立压滤机液压系统故障样本库。
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  “art模型”译为未确定词的双语例句
     Face Recognition Based on Principal Component Analysis and Fuzzy ART Neural Model
     基于主元分析和Fuzzy ART模型的人脸识别算法
短句来源
     According to the symmetry of the similarity functions used in ART, the ART can be divided into two classes.
     根据相似度函数的对称性,ART模型一般分为两类:一类属传统ART型,其相似度函数是非对称的;
短句来源
     Ideally these networks could accomplish an arbitrary task with correct topology and sufficient training. Many models, such as Back Propagation (BP), Hopfield, ART, have been developed and sometimes several models have to be combined to accomplish a task.
     正是因为越来越多的应用需要神经网络的支持,我们着手开发一个神经计算平台,该平台实现多种神经网络模型,例如BP模型、Hopfield模型、Boltzmann机模型、ART模型、BAM模型、遗传算法等等。
短句来源
     A method which applied Artificial Neural Nets(ANNs)to evaluation synthetic economic efficiency of business firm is proposed here.
     本文提出了应用人工神经经网络的ART模型进行企业综合经济效益评估的方法。
短句来源
     The group method for curve parts of ship shells is presented based on Adaptive Resonance Theory(ART).
     运用自组织神经网络(ART模型)的原理,探讨了船体曲面零件成组分类的方法。
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  art model
A state of the art model, paving the path from genes to behavior, is offered by transgenic animals.
      
Effects from gluon radiation are clearly demonstrated by comparison with a state-of-the-art model inlcuding QCD parton cascade evolution and string hadronization, which gives in general good agreement with the data.
      
A scenario of European climate change for the late twenty-first century is described, using a high-resolution state-of-the-art model.
      
The results demonstrate that the technique provides significant performance benefits over static program slicing using state-of-the-art model checkers.
      
Experiments are now underway applying this process to the NCAR/CCM3, a state-of-the-art model.
      
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The ART-Ⅱ model[2] is capable of identifying arbitrary sequence, but, in [2], the dynamical process and self-stability range are not discussed, only the simulation results in different ρ set by author are presented. Based on deeply studying the mechanism of dynamical feedback in ART-Ⅱ, the paper defines the concepts of attractive basin, self-stability, focus point, proposes the algorithm of adaptive ρ. The new mechanism reveals the capability of parallelly searching and continually suiting for the environment...

The ART-Ⅱ model[2] is capable of identifying arbitrary sequence, but, in [2], the dynamical process and self-stability range are not discussed, only the simulation results in different ρ set by author are presented. Based on deeply studying the mechanism of dynamical feedback in ART-Ⅱ, the paper defines the concepts of attractive basin, self-stability, focus point, proposes the algorithm of adaptive ρ. The new mechanism reveals the capability of parallelly searching and continually suiting for the environment changed, and makes the ART-Ⅱ model with adaptive p possess the capability of correcting and tolerating errors in the memory and the certain sensitivity for signal processing, the mechanism overcomes the weakness of original model with fixed p which can cause the error memory. The intelligent system can be formed by integrating the improved model, the digital sampling and reasoning, which realizes the reception of multi-freqaencies in telecommunication system. The result in the test demonstrates that the improved model with adaptive ρ identifies the signal with noise in different degree well.

由文献[2]提出的ART-Ⅱ模型可处理任意序列的辨识问题,但其未涉及网络的动态过程和自稳定区域的研究,只是人工设置不同的ρ值得到仿真结果。本文在深入研究ART-Ⅱ动态反馈机理的基础上,引入了吸引域、自稳定性、聚点等概念,提出了ρ值自适应算法。这一新的机制可以并行搜索和不断地适应外界环境的变化,使得ρ自适应的ART-Ⅱ模型有一定的纠错、容错记忆能力,又有一定的敏感性,克服了原模型ρ值固定时错误记忆的弊病。(由改进型ART-Ⅱ神经网和数据采集、推理机制结合形成一完整智能系统,实现通信系统的多频信号接收处理。系统试验结果表明具有良好的识别效果。

This paper is based on Hamming memory neural network and Adaptive Resonance Theory (ART) model. In theory, we analyzes defects of the Hamming network algorithm. We utilized the idea of ART and developed a fast classification algorithm, called improved hamming algorithm (Im-H Algorithm). This algorithm provides two important properties of updating the thresholds and imtroducing empirical iterations. We have applied this methed to character recognition. A large number of experiments demonstrate its efficiency...

This paper is based on Hamming memory neural network and Adaptive Resonance Theory (ART) model. In theory, we analyzes defects of the Hamming network algorithm. We utilized the idea of ART and developed a fast classification algorithm, called improved hamming algorithm (Im-H Algorithm). This algorithm provides two important properties of updating the thresholds and imtroducing empirical iterations. We have applied this methed to character recognition. A large number of experiments demonstrate its efficiency and its high covergence rate.

本文以海明神经网络与自适应谐振理论(ART)模型学习算法为基础,从理论上分析了海明网络学习算法的缺陷,利用ART网络的思想,提出了一种快速分类的神经元网络的算法,命名为Improved Hamming算法(简称Im-H算法)。此算法主要优点在于阈值更新及引入了经验迭代次数。将此算法用于字符模式识别,大量的计算机实验结果表明了Im-H网络学习算法的有效性、快速性。

It was found recently that the need of ECG in several fields,such as clinic,fundamental research,rehabilitation and special applications in physiology can be met by long-time recording and analyzing of ECG.So the leval of technical requirements for Holter system becomes higher and higher.In this paper, we discuss main requirements for Holter system,including recording part and analyzing part,in order to meet those requirements.We also introduce the principle of using several neural network models to meet technical...

It was found recently that the need of ECG in several fields,such as clinic,fundamental research,rehabilitation and special applications in physiology can be met by long-time recording and analyzing of ECG.So the leval of technical requirements for Holter system becomes higher and higher.In this paper, we discuss main requirements for Holter system,including recording part and analyzing part,in order to meet those requirements.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.

为了长时间、准确的记录及分析体表ECG,从各个方面满足基础研究、临床、康复以及特殊生理需要,对Holter系统提出了愈来愈高的要求。作者从技术实现的角度讨论了Holter的主要技术要求,包括记录部分和分析部分;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。

 
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