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新型art
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  new art
     This paper presents a new non-linear transfer function and competitive learning algorithm aim to the pretreatment signal distortion problem of the standard ART Ⅱ. The inputting field of the new ART Ⅱ algorithm can be expanded to real number field from nonnegative number field and its clustering performance is very well. The new algorithm is examed by several clustering problems,the result shows that the new algorithm can recognize unknown patterns adaptively and precisely.
     该文针对标准ARTⅡ算法的预处理信号畸变问题,提出了新的非线性变换函数和竞争学习算法,该新型ARTⅡ算法的输入域由原来的非负实数域扩大到整个实数域,且分类性能良好,以多种分类问题对该算法的性能进行验证,结果表明该算法性能优良,能自适应地识别未知故障模式,分类准确。
短句来源
     The experimental test of fault pattern recognielon in a large ship power plant's BIT system is developed. The results show that the new ART 2/2A algorithm can recognize adaptively and precisely the unknown fault patterns of BIT system.
     本文以大型船舶动力装置 BIT系统运行状态中的故障模式为对象进行实验验证 ,结果表明新型ART- 2 / 2 A算法能自适应地对 BIT系统未知故障模式进行分类识别 ,分类准确。
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  “新型art”译为未确定词的双语例句
     New ART-2A Un-Supervised Clustering Algorithm and Its Application on BIT Fault Diagnosis
     新型ART-2A算法及其在BIT故障诊断中的应用
短句来源
     Thereby a new non linear transfer function and competitive learning algorithm are presented to expand the input domain of the ART 2/2A algorithm from nonnegative real number field to the whole real number field.
     该新型ART- 2 / 2 A算法的输入域由原来的非负实数域扩大到整个实数域 ,并且能够正确区分标准 ART- 2 / 2 A算法不可区分的同相位数据。
短句来源
     A New Non-supervising Adaptive Resonance Theory Ⅱ Cluster Algorithm
     一种新型ARTⅡ无监督分类算法
短句来源
     6. The application of ART2 net served as a classifier to ceramic-glass tiles isstudied, and modified learning algorithm is proposed to improve the pattern shiftingproblem existed in classical ART2 net.
     7. 传统ART2 网络的相似性度量没有考虑幅度信息,导致其在某些场合的应用受到限制。 本论文提出一种基于幅度信息的新型ART2 网络结构及其算法,新型网络在处理集群分布信息数据时,性能优于传统ART2 网络。
短句来源
  相似匹配句对
     A New Type of Measuring Cylinder
     新型量筒
短句来源
     A new type spiral wound machine.
     新型缠绕机
短句来源
     A New Non-supervising Adaptive Resonance Theory Ⅱ Cluster Algorithm
     一种新型ARTⅡ无监督分类算法
短句来源
     New ART-2A Un-Supervised Clustering Algorithm and Its Application on BIT Fault Diagnosis
     新型ART-2A算法及其在BIT故障诊断中的应用
短句来源
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  new art
Fluconazole was restarted and a new ART regimen was started in order to fully suppress HIV replication.
      
Post-genomic era and gene discovery for psychiatric diseases: There is a new art of the trade
      
It is this last ambition, the development of a new art practice involved in creating living beings, that this essay will particularly take to task by questioning the ethics of that goal and the uses of biotechnology in reaching it.
      
Telepresence and virtual reality, the avatars of Net life, present us with a distributed, multiple identity which in turn is producing a radically new art.
      
Five themes are central to the new art of dying: autonomy and the self, pain control and medical intervention, attachment and relations, life balance and guilt, death and afterlife.
      
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A self organizing neural network termed Fuzzy ART is introduced. It was proposed in 1991 and is capable of characterizing input pattern categories and fault categories for vibration signals sampled from air valves of a reciprocating compressor.

FuzyART是近几年出现的一种新型ART(adaptiveresonancetheory)技术,文中介绍了该技术的实现方法,并用它对实测的不同工况的机器振动信号进行自组织聚类,收到了令人满意的效果.分析结果表明,采用这种无督学习的神经网络具有有督学习神经网络所无法替代的优势.文中同时对该技术在故障诊断领域中的应用前景作了展望

The ART is a representative, non-supervising neural network which can recognize complicated inputting patterns self-organically. This paper presents a new non-linear transfer function and competitive learning algorithm aim to the pretreatment signal distortion problem of the standard ART Ⅱ.The inputting field of the new ART Ⅱ algorithm can be expanded to real number field from nonnegative number field and its clustering performance is very well. The new algorithm is examed by several clustering problems,the...

The ART is a representative, non-supervising neural network which can recognize complicated inputting patterns self-organically. This paper presents a new non-linear transfer function and competitive learning algorithm aim to the pretreatment signal distortion problem of the standard ART Ⅱ.The inputting field of the new ART Ⅱ algorithm can be expanded to real number field from nonnegative number field and its clustering performance is very well. The new algorithm is examed by several clustering problems,the result shows that the new algorithm can recognize unknown patterns adaptively and precisely.

ART是一种典型的、无监督的、能够对复杂输入模式实现自稳定和自组织识别的神经网络。该文针对标准ARTⅡ算法的预处理信号畸变问题,提出了新的非线性变换函数和竞争学习算法,该新型ARTⅡ算法的输入域由原来的非负实数域扩大到整个实数域,且分类性能良好,以多种分类问题对该算法的性能进行验证,结果表明该算法性能优良,能自适应地识别未知故障模式,分类准确。

The adaptive resonance theory (ART) is a representative, non supervising neural network which can self organically recognize complicated inputting patterns. Through analysis of ART algorithm it is found that the problem of the same phasic data with different amplitudes cannot be resolved by the ART 2/2A. Thereby the new nonlinear transfer function and the competitive learning algorithm are introduced to expand the inputting field of the ART 2 algorithm from nonnegative number field to real number field....

The adaptive resonance theory (ART) is a representative, non supervising neural network which can self organically recognize complicated inputting patterns. Through analysis of ART algorithm it is found that the problem of the same phasic data with different amplitudes cannot be resolved by the ART 2/2A. Thereby the new nonlinear transfer function and the competitive learning algorithm are introduced to expand the inputting field of the ART 2 algorithm from nonnegative number field to real number field. Then a relevant linear transformation method is presented to translate the problem. The problem of same phasic data with different amplitudes cannot be transferred by the ART 2/2A into the phasic division problem of the whole coordinate planes. These methods resolve the above mentioned problem. The validation results show that the new ART 2A algorithm can deal with more far ranging data and recognize unknown patterns adaptively and precisely.

自适应共振理论 (ART)是一种典型的、无监督的、能够对复杂输入模式实现自组织识别的神经网络。本文经分析发现标准 ART- 2 A算法中存在“同相位不可分问题”,由此提出新的 F1层非线性变换函数和 F2 层竞争学习算法 ,把 ART- 2 A算法的适用范围扩展到整个实数域 ,然后提出了相应的线性变换处理方法把“同相位不可分问题”转化为“整个坐标平面内的相位划分问题”,从而很好地解决上述问题 ,增强了 ART- 2 A算法的适用性。验证算例的结果表明 ,新型 ART- 2 A算法能够对更为广泛的数据模式进行自适应识别 ,分类结果准确

 
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