Monthly groundwater level prediction using ANN and neuro-fuzzy models: a case study on Kerman plain, Iran
نویسندگان
چکیده
منابع مشابه
Simulation of groundwater quality parameters using ANN and ANN+PSO models (Case study: Ramhormoz Plain)
One of the main aims of water resource planners and managers is to estimate and predict the parameters of groundwater quality so that they can make managerial decisions. In this regard, there have many models developed, proposing better management in order to maintain water quality. Most of these models require input parameters that are either hardly available or time-consuming and expensive to...
متن کاملSimulation of groundwater quality parameters using ANN and ANN+PSO models (Case study: Ramhormoz Plain)
One of the main aims of water resource planners and managers is to estimate and predict the parameters of groundwater quality so that they can make managerial decisions. In this regard, there have many models developed, proposing better management in order to maintain water quality. Most of these models require input parameters that are either hardly available or time-consuming and expensive to...
متن کاملsimulation of groundwater quality parameters using ann and ann+pso models (case study: ramhormoz plain)
one of the main aims of water resource planners and managers is to estimate and predict the parameters of groundwater quality so that they can make managerial decisions. in this regard, there have many models developed, proposing better management in order to maintain water quality. most of these models require input parameters that are either hardly available or time-consuming and expensive to...
متن کاملANN and Fuzzy Logic Models for the Prediction of groundwater level of a watershed
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Groundwater is a highly valuable resource. Measurement and analysis of groundwater level is needed for maintaining groundwater availability. It is therefore necessary to implement mechanisms and systems that can be employed to predict the ground...
متن کاملPrediction the groundwater level of Hamadan-Bahar Plain, west of Iran using support vector machines.
BACKGROUND Water is considered as the main source of life but water resources are limited and nonrenewable. Different factors have caused groundwater to decrease. Therefore, modeling and predicting groundwater level is of great importance. METHODS Monthly groundwater level data of about 20 years (October 1991 to February 2012) from the Hamadan-Bahar Plain, west of Iran were used based on peiz...
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ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2010
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2010.034