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Comparison of Neuro-Fuzzy and Regression Models for Prediction of Outflow of on-farm Reservoir
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View Archive Info| Field | Value | |
| Title |
Comparison of Neuro-Fuzzy and Regression Models for Prediction of Outflow of on-farm Reservoir
Not Available |
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| Creator |
A. Sonawane, M. Hasan, Y. Rajwade, S. Desai, G. Rajurkar, V. Shinde, D. Singh and M. Singh
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| Subject |
Neuro-Fuzzy; Regression model; Outflow; Model efficiency
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| Description |
Not Available
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. Not Available |
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| Date |
2021-08-09T05:15:38Z
2021-08-09T05:15:38Z 2013-01-13 |
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| Type |
Research Paper
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| Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/53672 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
Not Available
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