A framework development for predicting t
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R. Noori; A.R. Karbassi; H. Mehdizadeh; M. Vesali-Naseh; M.S. Sabahi
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Article
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2010
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American Institute of Chemical Engineers
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English
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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