摘要
为在小样本情况下对腐蚀损伤进行预测,结合灰色系统与神经网络,提出了灰色神经网络模型,利用该模型对已知腐蚀损伤数据进行了预测检验。为对比研究,同时采用灰色系统与神经网络方法预测了损伤值。结果表明,3种预测模型中,灰色神经网络预测精度最高,能够满足工程使用要求。
In order to predict corrosion damage with small sample, a grey neural network model was put forward, which combined grey model with neural network. This model was used to predict and check the known corrosion damage data. For comparison and analysis, the damage data was also predicted with grey model and neural network. The results showed that the prediction accuracy of the grey neural network is the highest in three models, and it meets the requirements of engineering application.
出处
《装备环境工程》
CAS
2009年第3期65-67,74,共4页
Equipment Environmental Engineering
