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1 s2.0 S0925521421002805 Main by Alejandro Romero Valencia is a document available to read on EtoBox.

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This study compares multi-response deep learning models to partial least squares regression for predicting multiple quality traits in fruit using near-infrared spectroscopy data. A convolutional neural network model with one convolutional layer and a more complex three-layer convolutional neural network model are evaluated. The deep learning models are optimized using Bayesian optimization methods. The results show that the multi-response deep learning models can more easily handle multiple responses compar

Author

Alejandro Romero Valencia

Language

EN