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1)  Elman recurrent artificial neural networks
Elman型回馈人工神经网络
2)  Elman recurrent neural networks
Elman型回馈神经网络
3)  Elman radial neural network
Elman型反馈神经网络
1.
The paper utilized the Elman radial neural network(RNN) to forecast and diagnose process quality so as to overcome the shortcomings of function neural network(FNN).
利用Elman型反馈神经网络对过程质量进行预测和诊断以克服前向型神经网络的缺陷,同时针对目前预测与诊断相分离的现象提出将两者相结合以实现质量的实时控制。
4)  Elman feedback neutral network
Elman反馈神经网络
5)  recurrent neural network theory of Elman
Elman型回归神经网络
1.
Application recurrent neural network theory of Elman for setting up ethylene cracking severity soft sensor model is described.
提出了运用Elman型回归神经网络来建立裂解深度软测量模型,解决控制参数测量中在线分析仪表的滞后等问题。
6)  Elman recurrent neural network
Elman回归神经网络
1.
Simultaneous determination of CuⅡ,NiⅡ,CrⅢ three-components mixture by Elman recurrent neural network in absorption spectra;
吸收光谱Elman回归神经网络同时测定CuⅡ,NiⅡ,CrⅢ3组分混合物
2.
Elman recurrent neural network ( ERNN) was applied to study the simultaneous quantitative analysis of seriously overlapped spectra of a p-nitrophenol, o-nitrophenol and 2,4-dinitrophenol system.
应用Elman回归神经网络(ERNN)对光谱严重重叠的对硝基苯酚,邻硝基苯酚和2,4二硝基苯酚体系的同时定量测定进行了研究,并与多变量线性回归(MLR)法作了比较。
3.
Elman recurrent neural network(Elman RNN)was applied to study the simultaneous quantitative analysis of overlapping UV spectra.
应用Elman回归神经网络对同时定量分析紫外重叠光谱进行了研究。
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