Results 151 to 160 of about 2,420,336 (400)
On-line learning processes in artificial neural networks [PDF]
, 1993 Tom Heskes, Bert Kappen
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Advanced Functional Materials, EarlyView.A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao +17 more
wiley +1 more source
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network [PDF]
The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction.
Limsombunchai, Visit
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Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making [PDF]
, 1993 Yuzheng Wu +4 more
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Artificial nonmonotonic neural networks
Artificial Intelligence, 2001 AbstractIn this paper, we introduce Artificial Nonmonotonic Neural Networks (ANNNs), a kind of hybrid learning systems that are capable of nonmonotonic reasoning. Nonmonotonic reasoning plays an important role in the development of artificial intelligent systems that try to mimic common sense reasoning, as exhibited by humans.
Basilis Boutsinas, Michael N. Vrahatis
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Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine
Advanced Functional Materials, EarlyView.Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang +5 more
wiley +1 more source
Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model
Frontiers in PharmacologyBackground: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of ...
Xian Zhao +9 more
doaj +1 more source
Neural networks for aircraft control [PDF]
Current research in Artificial Neural Networks indicates that networks offer some potential advantages in adaptation and fault tolerance. This research is directed at determining the possible applicability of neural networks to aircraft control.
Linse, Dennis
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Artificial Neural Network Pruning to Extract Knowledge
, 2020 Artificial Neural Networks (NN) are widely used for solving complex problems from medical diagnostics to face recognition. Despite notable successes, the main disadvantages of NN are also well known: the risk of overfitting, lack of explainability ...
Mirkes, Evgeny M
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A Neural-CBR System for Real Property Valuation [PDF]
, 2013 In recent times, the application of artificial intelligence (AI) techniques for real property valuation has been on the increase. Some expert systems that leveraged on machine intelligence concepts include rule-based reasoning, case-based reasoning and
Daramola, Olawande +3 more
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