Performance Comparison Between HMLP, MLP And Recurrent Networks With Applications To Carbon Monoxide Concentrations Forecasting.

• Main Authors: Raji, Usharani, Mashor, M.Y., Adom, A.H., Ali, A.N, Sadullah, A.F.
• Format: Conference or Workshop Item
• Language: English
• Published: 2005
• Subjects: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: http://eprints.usm.my/15568/1/Performance_Comparison_between_HMLP%2C_MLP_and_Recurrent_Networks_with_Applications_to_Carbon_Monoxide_Concentrations_Forecasting_JULY_2005.pdf; http://eprints.usm.my/15568/

This paper compares the performance of Hybrid Multilayered Perceptron (HMLP) network, Multilayered Perceptron (MLP) network and Recurrent network. These networks are used to model and forecast carbon monoxide (CO) concentration.