Identification of cumulative fruit responses during storage using neural networks (Identifikasi Terhadap Respon Kumulatif Buah Selma Penyimpanan Dengan Metode Neural Netvork)
Neural networks are useful to identify complex nonlinear relationships between input and output of a system. Cumulative fruit responses such as water losses and ripening during storage are characterized non-linearly. For identification, several patterns of these cumulative responses, as affected by...
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| Format: | Article NonPeerReviewed |
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[Yogyakarta] : Universitas Gadjah Mada
2000
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| Online Access: | https://repository.ugm.ac.id/21614/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=4482 |
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| Institution: | Universitas Gadjah Mada |