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Study and Application of a Class of Neural Networks Model with Better Generalization Ability
Author(s): WANG Yingchun, GENG Changfu
Pages: 6-
11,17
Year: 2002
Issue:
2
Journal: AEROSPACE CONTROL
Keyword: 神经网络; 建模; 泛化能力; 氧化铝浓度;
Abstract: 分析了影响神经网络模型泛化能力的因素.以电解铝过程中氧化铝浓度的神经网络软测量为例,提出了利用先验知识确定网络结构,采用特定实验保证样本数量和质量,离线训练加在线学习修正模型等措施,改善神经网络模型的泛化能力.现场应用表明这些措施是有效的.这样建立的神经网络模型准确,泛化能力强,为实现过程的先进控制提供了可靠保障.
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