Estimation of Artificial Neural Networks (MLP and RBF) Accuracy in Anticipation of the Dust of the Sabzevar Cement Factory

• 主要な著者: seyed saeed keykhosravi (著者), Farhad Nejadkoorki (著者), Mahmood Amintoosi (著者)
• フォーマット: 図書
• 出版事項: Mashhad University of Medical Sciences, 2019-04-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Background and Objective: Dust modeling can be considered as an appropriate tool for predicting future industrial dust and identifying pollutant emission control strategies. Perceptron (MLP) and radial base (RBF) neural networks were used as a means for predicting the outflow dust from the main coge...