Identifikasi Tingkat Manis Buah Belimbing Berdasarkan Citra Red Green Blue Menggunakan Fuzzy Neural Network
| Main Author: | Whidhiasih, Retno Nugroho; Universitas Islam 45 |
|---|---|
| Format: | Article application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Fakultas Teknik Program Studi Teknik Komputer Universitas Islam '45' Bekasi
, 2017
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| Online Access: |
http://www.ejournal-unisma.net/ojs/index.php/piksel/article/view/1624 |
Daftar Isi:
- Fuzzy Neural Network (FNN) has a capability to classify a pattern within two different classes which a classical Neural Network (NN) is failed to do so. The fuzzy pattern classification use membership degree on output of neuron as learning target. This research aim is to develop an artificial intelligence system model for non-destructive classification of starfruit using Fuzzy Neural Network. The input parameter is the estimator parameter of starfruit sweet level of red, green and blue index color obtained from image processing. The best result of starfruit sweet level identification using FNN with three classification class target (sour, medium and sweet) is achieved with 25 neurons in hidden layer and 14th epoch with 100% accuracy. Keyword : classification, fuzzy neural network, starfruit, non-destructive grading, pattern recognition.