Comparison of Time Series Methods and Artificial Neural Networks
In Reference Evapotranspiration Prediction (Case Study: Urmia)

Comparison of Time Series Methods and Artificial Neural Networks In Reference Evapotranspiration Prediction (Case Study: Urmia)

Evapotranspiration is one of the important factors in water resources consumption in the agriculture part. Therefore, presenting a method which gives suitable and accurate prediction of reference evapotranspiration can help to take optimum decision for water resource programing. In this research, ti...

Full description

Bibliographic Details
Main Authors:	Nasrin Azad Talatapeh, Javad Behmanesh, Mojtaba Moktaseri, Vahid Reza Verdi Nejhaz
Format:	Article
Language:	fas
Published:	Shahid Chamran University of Ahvaz 2016-01-01
Series:	علوم و مهندسی آبیاری
Subjects:	reference evapotranspiration radial basis function networks multilayer perceptron neural networks time series models
Online Access:	http://jise.scu.ac.ir/article_11794_584fef9d6296525262ee87b7a125f264.pdf

Similar Items

Artificial Neural Networks for the Prediction of the Reference Evapotranspiration of the Peloponnese Peninsula, Greece
by: Stavroula Dimitriadou, et al.
Published: (2022-06-01)

Comparing performance of MLP and RBF neural network models for predicting South Africa’s energy consumption
by: Olanrewaju A. Oludolapo, et al.
Published: (2017-10-01)

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars
by: Renato Domiciano Silva Rosado, et al.
Published: (2020-12-01)

Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations
by: SK Safdar Hossain, et al.
Published: (2022-12-01)

The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness
by: Ibrahim Bahadir Basyigit, et al.
Published: (2019-09-01)

Modeling of Phenol Extraction from Wastewater Using Intelligent Techniques
by: Mohsen Keshavarz Tork, et al.
Published: (2016-09-01)

Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)
by: Meysam Alizamir, et al.
Published: (2017-07-01)

Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines
by: Reza Norouzi, et al.
Published: (2019-08-01)

Herbal drug raw materials differentiation by neural networks using non-metals content
by: Suchacz Bogdan, et al.
Published: (2010-12-01)

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines
by: Girosi, Federico, et al.
Published: (2004)

Applied machine learning-based models for predicting the geomechanical parameters using logging data
by: Manouchehr Sanei, et al.
Published: (2023-08-01)

The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner
by: Ufuk Çelik, et al.
Published: (2017-06-01)

Investigation of Effective Meteorological Parameters Variations in Urmia Climate
by: Javad Behmanesh, et al.
Published: (2015-04-01)

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study
by: Ladislav Karrach, et al.
Published: (2023-09-01)

Use of Neural Networks to Accommodate Seasonal Fluctuations When Equalizing Time Series for the CZK/RMB Exchange Rate
by: Zuzana Rowland, et al.
Published: (2020-12-01)

Prediction of Force Measurements of a Microbend Sensor Based on an Artificial Neural Network
by: Kemal Fidanboylu, et al.
Published: (2009-09-01)

A Comparison of Artificial Neural Networks and Multiple Linear Regression Models As Predictors of Discard Rates In Plastic Injection Molding
by: Vesile Sinem Arıkan Kargı
Published: (2015-12-01)

Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural Networks
by: Jarlyson Brunno Costa Souza, et al.
Published: (2022-06-01)

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms
by: Maryam Ghasemi, et al.
Published: (2021-03-01)

Evaluation of Machine Learning Models for Daily Reference Evapotranspiration Modeling Using Limited Meteorological Data in Eastern Inner Mongolia, North China
by: Hao Zhang, et al.
Published: (2022-09-01)

Artificial Neural Network for Forecasting Reference Evapotranspiration in Semi-Arid Bioclimatic Regions
by: Ahmed Skhiri, et al.
Published: (2024-02-01)

Interval‐based features of auditory ERPs for diagnosis of early Alzheimer's disease
by: Neda Sabbaghi, et al.
Published: (2021-01-01)

Face Recognition Methods Based on Feedforward Neural Networks, Principal Component Analysis and Self-Organizing Map
by: J. Pavlovicova, et al.
Published: (2007-04-01)

Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT
by: Antonio Madueño Luna, et al.
Published: (2020-11-01)

Analysis of factors influencing recovery of low permeability and strong heterogeneous gas reservoirs and establishment of prediction model
by: Yi Zhao, et al.
Published: (2022-08-01)

Prediction of Dispersed Phase Holdup in the Kühni Extraction Column Using a New Experimental Correlation and Artificial Neural Network
by: Mohsen Keshavarz, et al.
Published: (2019-10-01)

Advanced approach to numerical forecasting using artificial neural networks
by: Michael Štencl, et al.
Published: (2009-01-01)

Artificial Neural Networks Predicted the Overall Survival and Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using a Pancancer Immune-Oncology Panel
by: Joaquim Carreras, et al.
Published: (2021-12-01)

Improving the classification accuracy using hybrid techniques
by: Mamdouh Abdel Alim Saad Mowafy, et al.
Published: (2021-07-01)

Error Concealment using Neural Networks for Block-Based Image Coding
by: M. Mokos, et al.
Published: (2006-06-01)

Deriving potential evapotranspiration from satellite-based reference evapotranspiration, Upper Tekeze Basin, Northern Ethiopia
by: Mewcha Amha Gebremedhin, et al.
Published: (2022-06-01)

Analysis of Changes in Reference Evapotranspiration, Pan Evaporation, and Actual Evapotranspiration and Their Influencing Factors in the North China Plain During 1998–2005
by: Y. J. Liu, et al.
Published: (2019-08-01)

Misconceptions of Reference and Potential Evapotranspiration: A PRISMA-Guided Comprehensive Review
by: Ali Raza, et al.
Published: (2022-08-01)

Estimation methods to define reference evapotranspiration: a comparative perspective
by: Juan Pinos
Published: (2022-04-01)

ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California
by: Gurjot Kohli, et al.
Published: (2020-12-01)

Differences in Spatiotemporal Variability of Potential and Reference Crop Evapotranspirations
by: Keyu Xiang, et al.
Published: (2022-03-01)

Reliability-driven time series data analysis in multiple-level deep Learning methods utilizing soft computing methods
by: G.N. Basavaraj, et al.
Published: (2022-12-01)

Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models
by: Dilip Kumar Roy, et al.
Published: (2022-02-01)

FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction
by: Ana Dalia Pano-Azucena, et al.
Published: (2018-10-01)

Time series analysis of reference crop evapotranspiration for Bokaro District, Jharkhand, India
by: Gautam Ratnesh, et al.
Published: (2016-09-01)