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外时延
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  “外时延”译为未确定词的双语例句
     A Power Load Short Dated Forecasting System Based on Artificial Neural Network
     基于外时延反馈人工神经网络的短期负荷预测系统
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     It is proved by experimental results that the designed network, named by DTNN in this paper, can represents the feature of the input-output relationship of the actual Magnetic Bearing System, and the range of the errors is acceptable. Besides, by contrast, DTNN is more suitable to simulate the system than both BP and ELMAN networks.
     实验结果表明本论文中设计的外时延反馈网络DTNN能在允许误差范围之内拟合系统的输入输出特性,并且比BP网络和ELMAN网络更适用于模拟实际的磁悬浮轴承系统。
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     However,the Elman network has simpler node structure and is faster in determining the node structure,so it is more useful and effective.
     而Elman网络在节点结构上比外时延反馈型BP网络更简单,在确定网络节点结构上更快捷,更具有实际推广和应用价值。
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     6.106..
     10-’
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     Dinner Out
     在晚餐
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     Ground-based VLBI Relativistic Time Delay Model for Extra-Galactic Source
     河射电源地面VLBI观测的相对论时延模型
短句来源
     A Power Load Short Dated Forecasting System Based on Artificial Neural Network
     基于时延反馈人工神经网络的短期负荷预测系统
短句来源
     Stability of networked control systems with time-delay
     时延网络控制系统的稳定性
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An artificial neural network is used in the heat-supply-network real-time prediction.Both the back propagation network and the Elman network are used to establish a real-time predictive model for a heat supply network.The model is trained and tested with the data from the heat supply network.The result shows that both models have practical ability of dynamic tracking and predicting.However,the Elman network has simpler node structure and is faster in determining the node structure,so it is more useful and effective....

An artificial neural network is used in the heat-supply-network real-time prediction.Both the back propagation network and the Elman network are used to establish a real-time predictive model for a heat supply network.The model is trained and tested with the data from the heat supply network.The result shows that both models have practical ability of dynamic tracking and predicting.However,the Elman network has simpler node structure and is faster in determining the node structure,so it is more useful and effective.

将人工神经网络应用于供热网实时预报,建立起可用于热网供暖预报的外时延反馈型BP网络模型,及内时延反馈型Elman网络。且利用实际热网数据对所建立的网络进行训练和检验,结果表明两种预报模型均具有较好的动态跟踪能力和预报特性。而Elman网络在节点结构上比外时延反馈型BP网络更简单,在确定网络节点结构上更快捷,更具有实际推广和应用价值。

Artificial Neural Network (ANN) is used in heat supply network real-time prediction. The problem of structure design for BP network predictive model is discussed. Back Propagation Network (BPN) is adopted to establish heat supply network real-time predictive model. This model is trained and tested with part of the data from a boiler plant in Xihailin district, Mudanjiang, from Nov. 2000 to Apr. 2001. The result shows that the model has preferable ability of dynamic tracking and predicting.

将人工神经网络应用于供暖热网实时预报技术,讨论了热网动态BP网络预测模型结构的确定问题, 建立起可用于热网供暖预报的外时延反馈型BP网络模型.利用牡丹江西海林小区锅炉房2000年11月-2001 年4月的部分热网数据,对所建立的网络进行训练和检验,结果表明预报模型具有较好的动态跟踪能力和预报特性.

 
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