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Efficient design of neural network tree using a new splitting criterion

✍ Scribed by Pradipta Maji

Book ID
113815327
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
266 KB
Volume
71
Category
Article
ISSN
0925-2312

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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