Advances in Civil Engineering, 2022 Wind flow on a bluff body is a complex and nonlinear phenomenon that has been mainly studied experimentally or analytically. Several mathematical methods have been developed to predict the wind-induced pressure distribution on bluff bodies; however, most
Josué U. Rodríguez-Alcántara +2 more
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Artificial Neural Network Controller for Reducing the Total Harmonic Distortion (THD) in HVDC [PDF]
, 2018 A neural network based space vector modulation (SVM) of voltage source inverter is proposed. The voltage source converter (VSC) is highly used in high voltage direct current (HVDC) transmission so that a detailed analysis and transmission of this system ...
Hamoodi, A. N. (Ali) +1 more
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A Review of the Artificial Neural Network Models for Water Quality Prediction
Applied Sciences, 2020 Water quality prediction plays an important role in environmental monitoring, ecosystem sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear and non-stationarity of water quality well.
Yingyi Chen +4 more
semanticscholar +1 more source
Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [PDF]
Journal of Soft Computing in Civil Engineering, 2018 The paper presents the prediction of ultimate bearing capacity of different regular shaped skirted footing resting on sand using artificial neural network.
Rakesh Dutta +2 more
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Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station) [PDF]
مدلسازی و مدیریت آب و خاک, 2023 IntroductionWater resources are strongly influenced by the hydrological cycle and the estimation of evapotranspiration as the main component of the hydrological cycle plays an important role in water resources management. This phenomenon is nonlinear and
Danial Khari +2 more
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Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression [PDF]
, 2018 Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech ...
Brown, Ronald H. +2 more
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Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?
bioRxiv, 2018 The internal representations of early deep artificial neural networks (ANNs) were found to be remarkably similar to the internal neural representations measured experimentally in the primate brain.
Martin Schrimpf +11 more
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Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
IEEE Access, 2019 The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries.
Oludare Isaac Abiodun +9 more
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Implementation of Backpropagation Artificial Network Methods for Early Children’s Intelligence Prediction [PDF]
E3S Web of Conferences, 2021 Intelligence is the ability to process certain types of information derived from human biological and psychological factors. This study aims to implement a Backpropagation artificial neural network for prediction of early childhood intelligence and how ...
Budiman I +4 more
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Nature Precedings, 2011 In the postgenomic era, computational methods are being used in diverse areas like drug discovery, robotics, weather forecasting etc. Computational methods are incorporated with various programmes that are further instructed with complex algorithms based on different logistic approaches.
Smrita Singh, Smrita Singh
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