The Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model by Faruk Kılıç, Hasan Aka, Serkan İbiş, Zait Burak Aktuğ

Subjects: “…artificial neural network…”
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Valve Fault Diagnosis in Internal Combustion Engines Using Acoustic Emission and Artificial Neural Network by S. M. Jafari, H. Mehdigholi, M. Behzad

“…The experimental results showed that AE is an effective method to detect damage and the type of damage in valves in both of the time and frequency domains. An artificial neural network was trained based on time domain analysis using AE parametric features (AErms, count, absolute AE energy, maximum signal amplitude, and average signal level). …”
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Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm by Hanxi Jia, Junqi Lin, Jinlong Liu

“…This paper proposed a rapid assessment method for bridge seismic damage based on the random forest algorithm (RF) and artificial neural networks (ANN). This method evaluated the relative importance of each uncertain influencing factor of the seismic damage to the girder bridges and arch bridges, respectively. …”
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Hysteresis Nonlinearity Identification Using New Preisach Model-Based Artificial Neural Network Approach by Mohammad Reza Zakerzadeh, Mohsen Firouzi, Hassan Sayyaadi, Saeed Bagheri Shouraki

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Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

“…In this paper, two models were proposed to predict the Iraqi stock markets index through the use of artificial neural networks (ANN) and a long short-term memory (LSTM) algorithm where Iraqi stock market data were used from 2017 to 2021 and good results were achieved in the prediction where the long short-term memory (LSTM) algorithm reached a mean square error (MSE) rate of as little as 0.0016 while the artificial neural network (ANN) algorithm reached error rate 0.0055. …”
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Empirical Modeling of Ionospheric Current Using Empirical Orthogonal Function Analysis and Artificial Neural Network by Charles Owolabi, Haibing Ruan, Yosuke Yamazaki, Jinfeng Li, Jiahao Zhong, A. V. Eyelade, Shishir Priyadarshi, Akimasa Yoshikawa

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Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks by J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian

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RETRACTED: Application of artificial neural networks in predicting frequencies of cantilever beam when stiffness reduction by Nguyen Xuan Bang

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A system of analysis and prediction of the loss of forging tool material applying artificial neural networks by Hawryluk M., Mrzyglod B.

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Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods by Betül Mete, Sinan Nacar, Adem Bayram, Osman Tuğrul Bak

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Applications of artificial neural networks in health care organizational decision-making: A scoping review. by Nida Shahid, Tim Rappon, Whitney Berta

“…Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. …”
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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network by Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto

Subjects: “…artificial neural network (ann)…”
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Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network by A. Sadighzadeh, A. Salehizadeh, M. Mohammadzadeh, F. Shama, S. Setayeshi, S. A. H. Feghhi, S. M. Sadati, M. Rezaei, E. Haji Ebrahimi, G. H. Roshani

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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…The primary objective is to develop an artificial neural network (ANN) model to enhance the accuracy of compressive strength (C-S) predictions of GPC, which is crucial for the sustainable use of waste-based binders in construction. …”
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Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device by salam waley shneen, Rajaa khalaf Gaber, Rasha Saad Salih, Suaad Makki Jiaad

“…The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for the arm rehabilitation device and included building and designing the simulation model and simulation results for the arm rehabilitation device. …”
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Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines by Niklas Monzen, Florian Stroebl, Herbert Palm, Christoph M. Hackl

Subjects: “…Artificial neural network (ANN)…”
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Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile by Naftali Goldshleger, Alexandra Chudnovsky, Eyal Ben-Dor

“…The spectral properties of the crust formed on the soil surface were analyzed using an artificial neural network (ANN). Results were compared to a study with the same population in which partial least-squares (PLS) regression was applied. …”
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Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions by Ignacio Fernández Anitzine, Juan Antonio Romo Argota, Fernado Pérez Fontán

“…This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/path loss in both outdoor and indoor links. …”
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