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

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

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.

Bibliographic Details
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

Internet

http://eprints.usm.my/7814/1/Carbon_Monoxide_Concentration_Forecasting_Using_Hybrid_Radial_Basis_Function_Ndtwork_%28PPEElectronic%29.pdf

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