Dự báo tốc độ ăn mòn kẽm trong khí quyển trên cơ sở ứng dụng mạng nơ-ron nhân tạo

Abstract

The article presents the prediction of zinc corrosion rate in the atmosphere by applying an artificial neural network (ANN). The results indicate that the forecast has high accuracy with the correlation coefficients of 97-98%. This is a good orientation of applying an artificial neural network to predict the metal corrosion rate in Vietnam.