Browsing by Author "Norizan Mohamed"

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    Application Of Radial Basis Function Network On Parkinson Data
    (Jurnal Teknologi, 2015-10) Nur Farahana Zainudin; Norizan Mohamed; Nor Azlida Aleng; Siti Hasliza Ahmad Rusmili
    Radial basis function networks have many uses, including the function approximation, time series production, classification and system control. Radial basis function based diagnosis of medical diseases has been taken into great consideration in recent studies. The real data from UCI Machine Learning websites that used 500 Parkinson’s patients and 7 different attributes as the subject were analyzed by using Statistical Package for Social Sciences (SPSS) 21.0. Next, the result of SPSS software will be used and run by MATLAB software. From the research that has been done by other researchers, it was found that MATLAB software is much better in producing the best results for Radial Basis Function. The value of R2 for Multiple Linear Regression and Radial Basis Function is 0.7450 and 0.9702 respectively. Hence, the Radial Basis Function method shows that there is more variability is explained by this model.
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    Parametric and artificial intelligence based methods for forecasting short term electricity
    ([Johor]: Universiti Teknologi Malaysia, 2011-05) Norizan Mohamed
    Kajian ini bertujuan membina model terbaik bagi penelahan tenaga elektrik di Malaysia. Untuk mendapatkan model terbaik, data setiap setengah jam tenaga elektrik bagi tempoh setahun digunakan dengan peratus purata ralat mutlak (PPRM) sebagai ukuran kejituan telahan. Tiga kaedah iaitu model Purata Bergerak Terkamir Autoregresi Dua Musim (PBTADM), model rangkaian neural pelbagai lapis suap hadapan dan model gabungan dipertimbangkan.