JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY, JAPAN
Online ISSN : 2759-8322
Print ISSN : 0918-5283
ISSN-L : 0918-5283
Prediction of the Compressive Strength of Cardboard Boxes using a Neural Network
Kyohei IIDA
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Keywords: Cardboard box, Compressive strength, Machine learning, Neural network, Partition
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2024 Volume 33 Issue 1 Pages 49-

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