Prediction of Soluble Solid Content in Pineapple Using Adaptive Linear Neuron
This research investigated the use of predictive models and a low cost spectroscopy in non-invasive Soluble Solids Content (SSC) assessment. The challenge is to model complex and high- dimensional spectral data. Adaptive Linear Neuron (ADALINE) that uses a single layer network was proposed for model...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2014-04-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/april_2014/Vol_168/P_1987.pdf |