Predicted evaporation in Basrah using artificial neural networks

Predicted evaporation in Basrah using artificial neural networks

Accurate evaporation estimation is crucial for managing hydrologic, hydraulic, and agricultural systems, among many other applications of water resources. Empirical formulae for estimating evaporation exist, but their performance is not always sufficient due to the intricacy of the process and its n...

Full description

Bibliographic Details
Main Author:	Hamza Zuhal Abdul Hadi
Format:	Article
Language:	English
Published:	De Gruyter 2024-04-01
Series:	Open Engineering
Subjects:	ann model backpropagation evaporation feedforward
Online Access:	https://doi.org/10.1515/eng-2022-0590

Similar Items

Monitoring river water quality through predictive modeling using artificial neural networks backpropagation
by: Muhammad Andang Novianta, et al.
Published: (2024-08-01)

Artificial neural networks for diagnosis and survival prediction in colon cancer
by: Ahmed Farid E
Published: (2005-08-01)

A Review of the Artificial Neural Network Models for Water Quality Prediction
by: Yingyi Chen, et al.
Published: (2020-08-01)

Modeling of the evaporation process using the hybrid algorithm of the COOT bird and artificial neural network
by: Farnaz Alempour Rajabi, et al.
Published: (2024-05-01)

Sensitivity Analysis of the Effective Parameters upon Daily Evaporation Using Garson Equation and Artificial Neural Network (Case Study:Tabriz city)
by: Rasool Daneshfaraz
Published: (2016-01-01)

Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors
by: Faheem Ul Rehman Siddiqi, et al.
Published: (2024-10-01)

PREDIKSI PRODUKTIVITAS JAGUNG DI INDONESIA SEBAGAI UPAYA ANTISIPASI IMPOR MENGGUNAKAN JARINGAN SARAF TIRUAN BACKPROPAGATION
by: Anjar Wanto
Published: (2019-04-01)

Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network
by: Hery Tri Waloyo, et al.
Published: (2024-11-01)

Neural Network Model predictive control for diary Falling Film Evaporators
by: S.A. Ahmed, et al.
Published: (2017-01-01)

CT-Scan Method-based Artificial Neural Network for Diagnosis of COVID-19
by: Humam Adnan Sameer, et al.
Published: (2022-12-01)

Artificial Intelligence for the Prediction of the Thermal Performance of Evaporative Cooling Systems
by: Hafiz M. Asfahan, et al.
Published: (2021-07-01)

Klasifikasi Kualitas Biji Kopi Menggunakan MultilayerPerceptron Berbasis Fitur Warna LCH
by: Ilhamsyah Ilhamsyah, et al.
Published: (2021-12-01)

The Successful Prediction Of Waterflooding Using A Feed Forward Algorithm
by: Qunazatul Shima Batubara, et al.
Published: (2023-08-01)

Solar Thermal Process Parameters Forecasting for Evacuated Tubes Collector (ETC) Based on RNN-LSTM
by: Muhammad Ali Akbar, et al.
Published: (2023-01-01)

Prediction of Life Expectancy in Maluku Province Using Backpropagation Artificial Neural Networks
by: Yopi Andry Lesnussa, et al.
Published: (2020-12-01)

Modelling crash severity outcomes for low speed urban roads using back propagation – Artificial neural network (BP – ANN) – A case study in Indian context
by: Santanu Barman, et al.
Published: (2023-10-01)

Artificial Neural Network-Based Fault Identification for Grid-Connected Electric Traction Network
by: Shwe Myint, et al.
Published: (2024-01-01)

Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
by: Mohammad Ehteram, et al.
Published: (2022-01-01)

Fundamentals and Applications of Artificial Neural Network Modelling of Continuous Bifidobacteria Monoculture at a Low Flow Rate
by: Sergey Dudarov, et al.
Published: (2022-05-01)

Prediction of hydrogen production in proton exchange membrane water electrolysis via neural networks
by: Muhammad Tawalbeh, et al.
Published: (2024-11-01)

Forecasting of Evaporation from Hemren Reservoir by using Artificial Neural Network
by: SAAD SH. SAMMEN
Published: (2013-12-01)

IMPROVEMENTS TO THE BACKPROPAGATION ALGORITHM
by: MIRCEA PETRINI
Published: (2012-12-01)

Multilayer perceptron artificial neural network for the prediction of heating value of municipal solid waste
by: Obafemi O. Olatunji, et al.
Published: (2019-12-01)

Handbook of evaporation technology/
by: 279656 Minton, Paul E.
Published: (1986)

Penerapan Neural Network untuk Klasifkasi Kerusakan Mutu Tomat
by: Zilvanhisna Emka Fitri, et al.
Published: (2020-05-01)

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation
by: Manish Kumar, et al.
Published: (2021-05-01)

Application of Neural Network Variations for Determining the Best Architecture for Data Prediction
by: Mochamad Wahyudi, et al.
Published: (2022-10-01)

Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models
by: Khairunnisa Khairudin, et al.
Published: (2024-06-01)

Artificial Neural Network Backpropagation for Predicting Rainfall (Case Study in Sultan Muhammad Kaharuddin Meteorological Station)
by: Romi Aprianto, et al.
Published: (2023-01-01)

PREDICTION OF EXTRACTION EFFICIENCY IN RDC COLUMN USING ARTIFICIAL NEURAL NETWORK
by: Adil. A. A. Al-Hemiri, et al.
Published: (2008-06-01)

Expert System of Dengue Disease Using Artificial Neural Network Classifier
by: Hamdani Hamdani, et al.
Published: (2022-05-01)

Artificial Neural Network-Based Prediction Model Back Propagation on Blood Demand and Blood Supply
by: Frengky Tedy, et al.
Published: (2023-12-01)

Prediction of Thermal Environment in a Large Space Using Artificial Neural Network
by: Hyun-Jung Yoon, et al.
Published: (2018-02-01)

MNPM: research on metabolic neural network prediction model for predicting carbon emission accuracy
by: Entao Luo, et al.
Published: (2024-01-01)

Evaluation of the elastic modulus of pavement layers using different types of neural networks models
by: M. M.M. Elshamy, et al.
Published: (2022-01-01)

Predicting the Efficiency of Inventory Management Using Artificial Neural Networks
by: Hamidreza Hajeb, et al.
Published: (2022-11-01)

Teaching Aid For Diagnosing Motorcycle Damages Using Back Propagation Artificial Neural Network
by: Nur Hasanah, et al.
Published: (2020-09-01)

DELAMINATION PREDICTION IN DRILLING OF CFRP COMPOSITES USING ARTIFICIAL NEURAL NETWORK
by: K. PALANIKUMAR, et al.
Published: (2011-04-01)

Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique
by: S.K. Tamang, et al.
Published: (2020-08-01)

Evaporator types/ In food manufacture,
by: 346997 Bedford, B. P.