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artificial networks
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  “artificial networks”译为未确定词的双语例句
     Aiming at the drawback in classical BP artificial networks and combining with genetic algorithms, this paper puts forwards the tax forecasting model based on real number coded GA-BP artificial networks;
     针对经典的BP人工神经网络所存在的缺陷,结合遗传算法,提出了基于实数编码的GA-BP神经网络税收预测模型。
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     The detection, location, and estimation problem of structural damage has been the important subject of structure engineering research in recent years. The damage identification methods have been widely used in aeronautical, civil, mechanical and nuclear structures. It is polytechnic method constructed on the damage theory, sensor technology, signal analysis, computer science and artificial networks.
     对工程结构的损伤识别、定位以及估计等是近年来土木工程结构中一个重要的研究课题,结构损伤检测技术已广泛的应用于航天、土木、机械和核工业中,是一门建立在损伤机理、传感器技术、信号分析技术、计算机技术及人工智能技术上的多学科综合性技术,相对于传统的结构损伤检测方法,本论文主要对基于神经网络的结构损伤检测理论与应用进行了研究。
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     Correlation and prediction of VLE for alcohol-water-salt systems by artificial networks
     神经网络技术用于醇水盐体系汽液平衡关联和预测
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     An Artificial Networks Based on Uniform Design and Its Application
     基于均匀设计法的人工神经网络及其应用(英文)
     The detection, location, and estimation problem of structural damage has been the subject of much current research in recent years. The damage identification methods have been widely used in aeronautical, civil, mechanical and nuclear structures. It is polytechnic method constructed on the damage theory, sensor technology, signal analysis, computer science and artificial networks.
     对工程结构的损伤识别、定位以及估计是近年来十分流行的研究课题,结构损伤检测技术已被广泛应用于航天、土木、机械和核工业中,是一门建立在损伤机理、传感器技术、信号分析技术、计算机技术及人工智能技术之上的多学科综合性技术,相对于传统的结构损伤检测方法,本论文主要对基于神经网络的结构损伤检测技术理论与应用进行研究。
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  相似匹配句对
     Artificial Neural Networks
     人工神经网络
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     ARTIFICIAL NEURAL NETWORKS
     船舶操纵性神经计算
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  artificial networks
Scale-free graphs and their properties have attracted considerable interest over the last 4-5 years, after it was discovered that many natural and artificial networks belong to this category.
      
Some of these assumptions are rather hypothethical and debatable for the time being and they will become justified in the future only if there will be more progress in the empirical and theoretical research on the brain and on artificial networks.
      
Artificial networks, including - random, regular 4-fold and 5-fold lattice and a tree-like structure; 2.
      
The study confirms the potential of artificial networks for the classification of bioprosthetic valve closure sounds.
      
We tested several measures for identifying vulnerable edges and compared their prediction performance in biological and artificial networks.
      
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It is suggested to study the neural network in the view of neural functions. The memory function of network is studied and its mathematical model is given. The model is synthesized by a peicewise-linear resistive network. The network is of many properties of artificial network such as parallelism, real-time processing, distributivity and adaptability etc., in addition, the parameters of network are expressed analytically by the patterns and features which are memorized in...

It is suggested to study the neural network in the view of neural functions. The memory function of network is studied and its mathematical model is given. The model is synthesized by a peicewise-linear resistive network. The network is of many properties of artificial network such as parallelism, real-time processing, distributivity and adaptability etc., in addition, the parameters of network are expressed analytically by the patterns and features which are memorized in the network.

本文提出了从神经系统功能进行网络综合的观点。对神经网络的记忆功能进行了研究,建立了数学模型,并用分段线性电阻网络进行综合。所得到的非线性电阻网络除具有并行性、实时性、分布性和自适应等一系列人工神经网络的特点外,网络中各参数由网络所应记忆模式和特征向量的解析式给出,这比传统的人工神经网络具有较强的直观性,便于实际应用。

The layer recognition in the process of integrated logging interpretation can be regarded as a classification problem based on pattern recognition. It's known to us that artificial neural networks work very well in operating classification and learning and it's tolerant of errors as well. This paper will first introduce the current situation of studying artificial networks with the emphasis on the fundamentals of the back-propagation network. A method of input swapping is then presented to deal with...

The layer recognition in the process of integrated logging interpretation can be regarded as a classification problem based on pattern recognition. It's known to us that artificial neural networks work very well in operating classification and learning and it's tolerant of errors as well. This paper will first introduce the current situation of studying artificial networks with the emphasis on the fundamentals of the back-propagation network. A method of input swapping is then presented to deal with the problem of network covergence. Some results from the experiment on applying the artificial neural network method to layer recognition are given at the end of the paper.

测井综合解释过程中的井层判别可看成是一个模式识别和分类问题。人工神经元网络具有很好的分类、学习和容错能力。本文首先介绍人工神经元网络的研究现状,着重介绍向后传递网络(B—P网络)的基本原理。然后,本文提出了进行输入变换的方法来解决网络的收敛问题。最后本文给出利用人工神经元网络进行井层判别的一些试验结果。

This paper had reviewed the progress of artificial network. The some basic structures of the network and the training procedures were related. Finally, the present state and prospects of the applications of neural network techniques in the process control field were discussed.

本文综述了人工神经网络的发展历程,介绍了神经网络的基本结构和训练原理,并着重阐述了在化工过程控制领域中的应用现状和前景。

 
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