PREDICTING REQUIRED TIME FOR SALT LEACHING THROUGH LABORATORY PHYSICAL MODELING USING ARTIFICIAL NEURAL NETWORKS

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POLOUS A.; PAZIRA E.; ESFANDIARI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: FINDINGS SCIENCE Year:2011 | Volume:7 | Issue:4 Page(s): 0-0

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Title

PREDICTING REQUIRED TIME FOR SALT LEACHING THROUGH LABORATORY PHYSICAL MODELING USING ARTIFICIAL NEURAL NETWORKS

Author(s)

POLOUS A. | PAZIRA E. | ESFANDIARI M. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKS (ANN)Q2

SALINE SOILSQ2

LEACHINGQ2

LABORATORY PHYSICAL MODELQ2

SOIL ELECTRICAL CONDUCTIVITY (EC)Q2

FEED FORWARD SYSTEMQ2

Abstract

Forecasting appropriate time for cultivation after salt LEACHING in SALINE SOILS is considered as a fundamental element in sustainable production in natural resources management. The aim of this study is to develop an artificial neural network in combination with LABORATORY PHYSICAL MODEL to precisely estimate required LEACHING time before cultivation phase. To achieve this objective, soil samples from field were ordered in to cylinders in the laboratory as same as soil profile in the field. Process of salt LEACHING was carried out and time series of electrical conductivity (EC) were measured in collected drainage water. Parameters in the neural network were trained and predictions were validated. The results indicate that the developed ANN is capable of predicting required time for salt LEACHING accurately with an error of less than 0.0001 minute from observations.

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APA: Copy

POLOUS, A., PAZIRA, E., & ESFANDIARI, M.. (2011). PREDICTING REQUIRED TIME FOR SALT LEACHING THROUGH LABORATORY PHYSICAL MODELING USING ARTIFICIAL NEURAL NETWORKS. FINDINGS SCIENCE, 7(4), 0-0. SID. https://sid.ir/paper/401829/en

Vancouver: Copy

POLOUS A., PAZIRA E., ESFANDIARI M.. PREDICTING REQUIRED TIME FOR SALT LEACHING THROUGH LABORATORY PHYSICAL MODELING USING ARTIFICIAL NEURAL NETWORKS. FINDINGS SCIENCE[Internet]. 2011;7(4):0-0. Available from: https://sid.ir/paper/401829/en

IEEE: Copy

A. POLOUS, E. PAZIRA, and M. ESFANDIARI, “PREDICTING REQUIRED TIME FOR SALT LEACHING THROUGH LABORATORY PHYSICAL MODELING USING ARTIFICIAL NEURAL NETWORKS,” FINDINGS SCIENCE, vol. 7, no. 4, pp. 0–0, 2011, [Online]. Available: https://sid.ir/paper/401829/en

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