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The prediction of seedy grape drying rate using a neural network method

✍ Scribed by Gülşah Çakmak; Cengiz Yıldız

Book ID
113551517
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
570 KB
Volume
75
Category
Article
ISSN
0168-1699

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In the past, several methods have been proposed to predict fatigue crack growth rate in tubular joints of offshore structures, however reasonably accurate solution for this problem is still lacking. Dramatic increase in the use of neural neural networks (NN) in material science, specially fatigue ar