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The neural control system consists of two stages: first, identification (modeling) of secondary path of the active noise control using RBF networks and its learning algorithm,
dideteksi suhunya berdasarkan pancaran panas masing-masing telur dengan bantuan region of interst (ROI). Berdasarkan uraian tersebut, maka pembuatan sistem identifikasi