A SURFACE WATER EVAPORATION ESTIMATION MODEL USING BAYESIAN BELIEF NETWORKS WITH AN APPLICATION TO THE PERSIAN GULF

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SADEGHI HESAR ALIREZA; TABATABAEE HAMID; JALALIAN MEHRDAD

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2012 | Volume:3 | Issue:1 Page(s): 13-22

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Title

A SURFACE WATER EVAPORATION ESTIMATION MODEL USING BAYESIAN BELIEF NETWORKS WITH AN APPLICATION TO THE PERSIAN GULF

Author(s)

SADEGHI HESAR ALIREZA | TABATABAEE HAMID | JALALIAN MEHRDAD | Issue Writer Certificate

Keywords

EVAPORATION

BELIEF BAYESIAN NETWORKS

PERSIAN GULF

STRUCTURAL LEARNING

NETICA

Abstract

EVAPORATION phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an EVAPORATION estimation method under uncertainty. As a case study, we estimated the surface water EVAPORATION of the PERSIAN GULF and worked with a dataset of observations (daily EVAPORATION) in a network of 13 weather stations in the provinces of Hormozgan and Bushehr. Two major categories of methods for learning Bayesian networks are parameter learning and structure learning. In the first step, k2 search algorithm be used as a score-based method for structure learning of BBN. K2 algorithm connects weather stations to other and Makes a virtual network of stations. In the second step, NETICA software be applied for parametric learning. Obtained network by k2 algorithm with the help of a probabilistic inference method (reduce gradiant) in NETICA can predict the rate of EVAPORATION. The results of the proposed method, indicating that this model has the more accuracy and reliability than existing statistical methods.

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APA: Copy

SADEGHI HESAR, ALIREZA, TABATABAEE, HAMID, & JALALIAN, MEHRDAD. (2012). A SURFACE WATER EVAPORATION ESTIMATION MODEL USING BAYESIAN BELIEF NETWORKS WITH AN APPLICATION TO THE PERSIAN GULF. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 3(1), 13-22. SID. https://sid.ir/paper/328685/en

Vancouver: Copy

SADEGHI HESAR ALIREZA, TABATABAEE HAMID, JALALIAN MEHRDAD. A SURFACE WATER EVAPORATION ESTIMATION MODEL USING BAYESIAN BELIEF NETWORKS WITH AN APPLICATION TO THE PERSIAN GULF. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2012;3(1):13-22. Available from: https://sid.ir/paper/328685/en

IEEE: Copy

ALIREZA SADEGHI HESAR, HAMID TABATABAEE, and MEHRDAD JALALIAN, “A SURFACE WATER EVAPORATION ESTIMATION MODEL USING BAYESIAN BELIEF NETWORKS WITH AN APPLICATION TO THE PERSIAN GULF,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 3, no. 1, pp. 13–22, 2012, [Online]. Available: https://sid.ir/paper/328685/en

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