Pengembangan Model Probabilistic Neural Networks untuk Penentuan Kematangan Belimbing Manis
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Date
2009Author
Fathurohman, Zaki
Buono, Agus
Kustiyo, Aziz
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The objectives of this research were to develop PNN model in determining starfruit ripeness. Experiments done by involving 354 image data of starfruits that classified into 5 classes. Feature extraction from those hundreds images was yield an image representation among others: amount of red pixels (R), amount of green pixels (G), substraction between R and G (R-G), and average value of Hue. Those features then became PNN inputs. After enjoining the last two classes, the best result could reach accuracy untill 90.86%.
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- UT - Computer Science [2236]