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人工神经网络在NH_3─H_2O─CO_2体系热力学模型建立中的应用
引用本文:郭沛俊,袁一.人工神经网络在NH_3─H_2O─CO_2体系热力学模型建立中的应用[J].化肥设计,1994(4).
作者姓名:郭沛俊  袁一
作者单位:大连理工大学化工学院
摘    要:本文给出了前馈神经网络改进学习算法,并将其用于NH3—H2O—CO2体系热力学模型建立中.结果表明,该体系的神经网络模型具有很高的精度,它将为尿素装置的模拟、设计、优化提供实用模型.

关 键 词:神经网络,BP算法,非线性变换,NH_3─H_2O─CO_2体系

Modelling for NH_3-CO_2-H_2O system by Artifical Neural Network
Guo Peijun, Yuan Yi.Modelling for NH_3-CO_2-H_2O system by Artifical Neural Network[J].Chemical Fertilizer Design,1994(4).
Authors:Guo Peijun  Yuan Yi
Affiliation:Guo Peijun; Yuan Yi
Abstract:An artifical neural network(ANN) standard back-propagation (BP) algorithm is given and its improved algorithm is proposed. and the application in modelling for NH3-CO2-H2O system is introduced. The simulation result shows the neural network model of NH3-CO2-H2O system is very precise.
Keywords:Artifical neural network  Back-propagation algorithm  Nonlinear transform  NH_3-CO_2-H_2O system
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