Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System Techniques-Reference-Cited by-同舟云学术

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Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System Techniques

Published:2009-10 Issue:10 Volume:26 Page:1503-1510
ISSN:1092-8758
Container-title:Environmental Engineering Science
language:en
Short-container-title:Environmental Engineering Science

Author:

Noori Roohollah¹²,Karbassi Abdulreza²,Farokhnia Ashkan¹³,Dehghani Majid⁴

Affiliation:

1. Department of Water Resources Research, Water Research Institute, Tehran, Iran.

2. Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran.

3. Department of Water Resources, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.

4. Department of Civil Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Publisher

Mary Ann Liebert Inc

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry

Link

http://www.liebertpub.com/doi/pdf/10.1089/ees.2008.0360

Reference31 articles.

1. Dispersion in Natural Streams

2. An expert system for predicting aeration performance of weirs by using ANFIS

3. Practical selection of SVM parameters and noise estimation for SVM regression

4. Application of a fuzzy discrimination analysis for diagnosis of valvular heart disease

5. Longitudinal Dispersion Coefficient in Straight Rivers

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