人工神经元网络在系统辨识中的应用
An Application of Artificial Neural Network to System Identification
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摘要: 本文将人工神经元网络的非线性性和信息的分布性用于非线性静态模型的辨识.对化 工生产中的缩聚反应过程的辨识结果表明,用人工神经元网络来辨识非线性静态模型是可行 的,从而为系统辨识提供了一条新的途径.Abstract: The nonlinearity and distribution of information processing of the artificial neural network are utilized in the identification of nonlinear static model. The identification of condensation polymerization process in the chemical industry shows that it can be practicable to adopt artificial neural netwok to identify nonlinear static models. Therefore, a new way of system identification may be feasible.
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Key words:
- Neural network /
- back-propagation /
- identification
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