Carbon Monoxide Concentration Forecasting Using' Hybrid Radial Basis Function Network.

• Main Authors: Mamat, Mazlina, Mashor, Mohd. Yusof, Saad, Abdul Rahman, Sadullah, Ahmad Farhan
• Format: Conference or Workshop Item
• Language: English
• Published: 2003
• Subjects: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: http://eprints.usm.my/7814/1/Carbon_Monoxide_Concentration_Forecasting_Using_Hybrid_Radial_Basis_Function_Ndtwork_%28PPEElectronic%29.pdf; http://eprints.usm.my/7814/

Neural network has been renown for its applications in many fields of research especially related to pattern recognition. In this paper, Hybrid Radial Basis Function (HRBF) Neural Network will be exploited to carry out the Carbon Monoxide forecasting.