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A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel

The purpose of this study is to develop a practical artificial neural network (ANN) model for predicting the atmospheric corrosion rate of carbon steel. A set of 240 data samples, which are collected from the experimental results of atmospheric corrosion in tropical climate conditions, are utilized...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Ngoc-Long Tran, Trong-Ha Nguyen, Van-Tien Phan, Duy-Duan Nguyen
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: Wiley 2021-01-01
Цуврал:Advances in Materials Science and Engineering
Онлайн хандалт:http://dx.doi.org/10.1155/2021/6967550
Шошгууд: Шошго нэмэх
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