𝔖 Bobbio Scriptorium
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A new improved Na/K geothermometer by artificial neural networks

✍ Scribed by Ibrahim Can


Book ID
104333294
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
139 KB
Volume
31
Category
Article
ISSN
0375-6505

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## Abstract The issue of selecting appropriate model input parameters is addressed using a peak and low flow criterion (PLC). The optimal artificial neural network (ANN) models selected using the PLC significantly outperform those identified with the classical root‐mean‐square error (RMSE) or the c