基于人工神經網絡鋁箔軋機軋制力模型

Model of Aluminium Foil Rolling Force Based on Neural Networks

摘要: 采用BP神經網絡原理對1350mm鋁箔軋機軋制數據重新處理，建立了基于人工神經網絡的軋制力模型.結果表明，用人工神經網絡軋制力模型的計算值與實測值相比較偏差<3%.該模型較真實地反映了軋制過程的特征.

Abstract: Based on the principle of BP neural networks, the rolling force model is established after thoroughly analyzing and reprocessing the data of 1350 mm aluminium foil mill. It states that the difference between the output of artificial neural networks rolling force model and the real value is in the order of 3 percent. The model reflects the real feature of process.