Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…For the last two decades, a large number of Artificial Neural Networks based learning models have been proposed to solve the problems of financial data and get accurate results in prediction of the future trends and prices. …”
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Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network by Hichem Ykrelef, Younes Chiba, Mounir Zirari, Ahmed Benyekhlef, Abdelali Boukaoud, Djamel Sebbar, Abdelkrim Kherkhar, Hayati Mamur

Subjects: “…Artificial neural networks…”
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Study of the Workability of Self-Compacting Concrete (SCC) Using Experimental Methods and Artificial Neural Networks (ANN) by Amar Mezidi, Mourad Serikma, Salem Merabti

“…Three methods are considered: the first is an empirical method represented by an approach based on mortar optimization, a solution proposed by Japanese researchers who originally introduced the concept of self-compacting concrete; the second is a graphical method by Dreux-Gorisse used for ordinary concrete, which optimizes the composition of the aggregate skeleton by selecting fractions without additives and superplasticizers; and the third is a statistical method that we developed using an approach based on Artificial Neural Networks (ANN) built from a database from previous research projects. …”
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Comparative Analysis of Gradient Descent Learning Algorithms in Artificial Neural Networks for Forecasting Indonesian Rice Prices by Rica Ramadana, Agus Perdana Windarto, Dedi Suhendro

Subjects: “…artificial neural network…”
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Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka by Miyuru B. Gunathilake, Chamaka Karunanayake, Anura S. Gunathilake, Niranga Marasingha, Jayanga T. Samarasinghe, Isuru M. Bandara, Upaka Rathnayake

“…Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). In addition, usage of ANNs is minimum to simulate streamflow in the context of Sri Lanka. …”
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PM10 AIR POLLUTION IN MASHAD CITY USING ARTIFICIAL NEURAL NETWORK AND MAKOV CHAIN MODEL

Subjects: “…artificial neural networks…”
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Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms by Özgür Özer, Harun Kemal Öztürk

“…Heuristic methods, particularly the widely used artificial neural networks and genetic algorithms, are explained in general terms. …”
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Seismic Response Analysis and Evaluation of Laminated Rubber Bearing Supported Bridge Based on the Artificial Neural Network by Bingzhe Zhang, Kehai Wang, Guanya Lu, Weizuo Guo

“…A new constitutive model of bearing based on the artificial neural network (ANN) technique is established through the static cyclic test of laminated rubber bearings, considering the bearing initial stiffness, friction coefficient, and other parameters such as the bearing sectional area, height, loading velocity, vertical load, and aging time. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

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Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine by Muhammad Ali, Dost Muhammad Khan, Muhammad Aamir, Amjad Ali, Zubair Ahmad

“…The main objective of this research work is to predict the direction movement of the daily stock prices index using the artificial neural network (ANN) and support vector machine (SVM). …”
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Storm‐Time Modeling of the African Regional Ionospheric Total Electron Content Using Artificial Neural Networks by Daniel Okoh, John Bosco Habarulema, Babatunde Rabiu, Gopi Seemala, Joshua Benjamin Wisdom, Joseph Olwendo, Olivier Obrou, Tshimangadzo Merline Matamba

“…The model is based on artificial neural networks which are used to learn the relationship between TEC and the corresponding physical/geophysical input parameters representing factors which influence ionospheric variability. …”
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A stochastic artificial neural network model for investigating street vendor behavior in a night market by Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao

“…This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model. …”
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An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions by Sehmus Fidan, Hasan Oktay, Suleyman Polat, Sarper Ozturk

“…The main scope of this study is to develop a model based on artificial neural network (ANN) in order to predict the thermal properties of concrete through its mechanical characteristics. …”
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Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network by S. Karthiyaini, K. Senthamaraikannan, J. Priyadarshini, Kamal Gupta, M. Shanmugasundaram

“…The present study is to compare the multiple regression analysis (MRA) model and artificial neural network (ANN) model designed to predict the mechanical strength of fiber-reinforced concrete on 28 days. …”
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A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks by Hilda Elizabeth Reynel-Ávila, Ismael Alejandro Aguayo-Villarreal, Lizbeth Liliana Diaz-Muñoz, Jaime Moreno-Pérez, Francisco Javier Sánchez-Ruiz, Cintia Karina Rojas-Mayorga, Didilia Ileana Mendoza-Castillo, Adrián Bonilla-Petriciolet

“…The application of artificial neural networks on adsorption modeling has significantly increased during the last decades. …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

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Accurate prediction for electro-oxidation regeneration of chromium- containing waste acid based on artificial neural network by SHI Yaqi, MENG Guangyuan, CHEN Peng, ZHANG Xinwan, FU Tao, YANG Zhengwu, ZHANG Liansheng, ZHANG Lehua

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Integration of Artificial Neural Network and Taguchi Method for Prediction and Minimisation of Thick-Walled Polypropylene Gear Shrinkage by Bikram Singh Solanki, Devi Singh Rawat, Harpreet Singh, Tanuja Sheorey

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A Real-Time and Closed-Loop Control Algorithm for Cascaded Multilevel Inverter Based on Artificial Neural Network by Libing Wang, Chengxiong Mao, Dan Wang, Jiming Lu, Junfeng Zhang, Xun Chen

“…In order to control the cascaded H-bridges (CHB) converter with staircase modulation strategy in a real-time manner, a real-time and closed-loop control algorithm based on artificial neural network (ANN) for three-phase CHB converter is proposed in this paper. …”
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