Irrigation water quality evaluation using adaptive network-based fuzzy inference system-Reference-Cited by-同舟云学术

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Irrigation water quality evaluation using adaptive network-based fuzzy inference system

Published:2010-04-09 Issue:3 Volume:8 Page:259-266
ISSN:1611-2490
Container-title:Paddy and Water Environment
language:en
Short-container-title:Paddy Water Environ

Author:

Alavi N.,Nozari V.,Mazloumzadeh S. M.,Nezamabadi-pour H.

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Agronomy and Crop Science,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10333-010-0206-6.pdf

Reference23 articles.

1. Abraham A (2005) Rule-based expert systems. In: Sydenham PH, Thorn R (eds) Handbook of measuring system design. Wiley, New York. ISBN: 0-470-02143-8

2. Herrera F, Lozano M (2003) Fuzzy adaptive genetic algorithm: design, taxonomy, and future directions. Soft Comput 7:545–562

3. Icaga Y (2007) Fuzzy evaluation of water quality classification. Ecol Indic 7:710–718

4. Jacquin AP, Shamseldin AY (2006) Development of rainfall–runoff models using Takagi–Sugeno fuzzy inference systems. J Hydrol 329:154–173

5. Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cyber 23(3):665–685

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