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Predicting Longitudinal Dispersion Coefficient in Natural Streams Using M5′ Model Tree

✍ Scribed by Etemad-Shahidi, Amir; Taghipour, Milad

Book ID: 120510122
Publisher: American Society of Civil Engineers
Year: 2012
Tongue: English
Weight: 498 KB
Volume: 138
Category: Article
ISSN: 0733-9429
DOI: 10.1061/(ASCE)HY.1943-7900.0000550

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## Abstract The main objective of the present investigation is to predict longitudinal dispersion coefficient (__K__~x~) in natural streams using artificial neural network (ANN) technique based on most famous training functions such as Trainlm, Trainrp, Trainscg, Trainoss, and so on. To achieve the