DERIVING PEDOTRANFER FUNICATIONS FOR PREDICTION OF WATER INFILTRATION RATE TO SOIL THE USING NEURAL NETWORK AND LINEAR REGRESSION METHODS

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REZAE ARSHAD R.; SAYYAD GH.A.; MAZLOOM M.; JAFARNEJADI A.R.; MOHAMMADI SAFFARZADEH V.

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Paper Information

Journal: JOURNAL OF PLANT PRODUCTION SCIENCE (JOURNAL OF AGRICULTURAL RESEARCHES) Year:2010 | Volume:2 | Issue:5 Page(s): 55-62

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Title

DERIVING PEDOTRANFER FUNICATIONS FOR PREDICTION OF WATER INFILTRATION RATE TO SOIL THE USING NEURAL NETWORK AND LINEAR REGRESSION METHODS

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Keywords

ARTIFICIAL NEURAL NETWORKSQ2

SOIL HYDRAULIC CHARACTERISTICSQ3

PEDOTRANSFER FUNCTIONSQ3

SOIL PERMEABILITYQ3

Abstract

Direct measurement of SOIL HYDRAULIC CHARACTERISTICS is costly and time-consuming. This method is partly unreliable due to soil heterogeneity and laboratory errors. Instead, SOIL HYDRAULIC CHARACTERISTICS can be predicted using readily available data such as soil texture and bulk density using PEDOTRANSFER FUNCTIONS (PTFs). ARTIFICIAL NEURAL NETWORKS (ANNs) and statistical regression are two methods which are used to develop PTFs. In this study, the multi-layer perceptron neural network with Levenberg-Marquadet training algorithm and backward logistic regression model are used to deriving this functions for water final infiltration rate in soil, using readily available soil properties such as bulk density, effective prosity and soil texture. The results showed that linear regression with mean square error 51.9 (cm day-1) has better performance than neural network with mean square error 118 (cm day-1).

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APA: Copy

REZAE ARSHAD, R., SAYYAD, GH.A., MAZLOOM, M., JAFARNEJADI, A.R., & MOHAMMADI SAFFARZADEH, V.. (2010). DERIVING PEDOTRANFER FUNICATIONS FOR PREDICTION OF WATER INFILTRATION RATE TO SOIL THE USING NEURAL NETWORK AND LINEAR REGRESSION METHODS. JOURNAL OF PLANT PRODUCTION SCIENCE (JOURNAL OF AGRICULTURAL RESEARCHES), 2(5), 55-62. SID. https://sid.ir/paper/201909/en

Vancouver: Copy

REZAE ARSHAD R., SAYYAD GH.A., MAZLOOM M., JAFARNEJADI A.R., MOHAMMADI SAFFARZADEH V.. DERIVING PEDOTRANFER FUNICATIONS FOR PREDICTION OF WATER INFILTRATION RATE TO SOIL THE USING NEURAL NETWORK AND LINEAR REGRESSION METHODS. JOURNAL OF PLANT PRODUCTION SCIENCE (JOURNAL OF AGRICULTURAL RESEARCHES)[Internet]. 2010;2(5):55-62. Available from: https://sid.ir/paper/201909/en

IEEE: Copy

R. REZAE ARSHAD, GH.A. SAYYAD, M. MAZLOOM, A.R. JAFARNEJADI, and V. MOHAMMADI SAFFARZADEH, “DERIVING PEDOTRANFER FUNICATIONS FOR PREDICTION OF WATER INFILTRATION RATE TO SOIL THE USING NEURAL NETWORK AND LINEAR REGRESSION METHODS,” JOURNAL OF PLANT PRODUCTION SCIENCE (JOURNAL OF AGRICULTURAL RESEARCHES), vol. 2, no. 5, pp. 55–62, 2010, [Online]. Available: https://sid.ir/paper/201909/en

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