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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/53672
Title: | Comparison of Neuro-Fuzzy and Regression Models for Prediction of Outflow of on-farm Reservoir |
Other Titles: | Not Available |
Authors: | A. Sonawane, M. Hasan, Y. Rajwade, S. Desai, G. Rajurkar, V. Shinde, D. Singh and M. Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Central Institute of Agricultural Engineering |
Published/ Complete Date: | 2013-01-13 |
Project Code: | Not Available |
Keywords: | Neuro-Fuzzy; Regression model; Outflow; Model efficiency |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Neuro-fuzzy and regression models predicting of outflow of an on farm reservoir of 300 m3 capacity, located at Indian Agricultural Research Institute (IARI), New Delhi site of India, were developed and validated using crop water requirement, evaporation losses and farm pond inflow data. The outflow predicted by these two models was compared with each other. It is raveled that Neuro-Fuzzy model predicted the outflow with high coefficient of determination (R2) of 0.98, model efficiency (E) of 0.97 and absolute average deviation (AAD) of 0.002. The regression model was found to be inferior with R2 = 0.940.78, E = 0.72 and AAD = 0.031. MATLAB software was used for development of Neuro-Fuzzy and regression model. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Agriculture, Environment and Biotechnology |
NAAS Rating: | 4.54 |
Volume No.: | 6(2) |
Page Number: | 187-193 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/53672 |
Appears in Collections: | AEng-CIAE-Publication |
Files in This Item:
File | Description | Size | Format | |
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2013_IJAEB_neuro fuzzy.pdf | 217.7 kB | Adobe PDF | View/Open |
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