Results 31 to 40 of about 4,712,882 (251)
SHS Web of Conferences, 2018 In the work performed adaptation of artificial neural networks in modern security systems potentially dangerous technical objects — high-rise buildings as tools for assessing and forecasting in management decision.
Peganov Nikolay +2 more
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Fast non-recursive extraction of individual harmonics using artificial neural networks [PDF]
, 2005 A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time
Wijayakulasooriya, Janaka V. +2 more
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Artificial nonmonotonic neural networks
Artificial Intelligence, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Basilis Boutsinas, Michael N. Vrahatis
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Nature Communications, 2018 Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks. Here the authors propose a method to design neural networks as sparse scale-free networks, which leads to a reduction in ...
Decebal Constantin Mocanu +5 more
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Review and Analysis of the Development of Artificial Neural Networks
Кібернетика та комп'ютерні технології, 2023 Introduction. The creation of intelligent cyber-physical systems is impossible without knowledge of the analysis and process of development of scientific thought regarding artificial neural networks. The main task of this article is research and analysis
Oleksandr Bilokon
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Modeling toothpaste brand choice: An empirical comparison of artificial neural networks and multinomial probit model [PDF]
, 2010 Copyright @ 2010 Atlantis PressThe purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector.
Aktas, E +7 more
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Artificial neural networks training acceleration through network science strategies [PDF]
, 2020 The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for stable and accurate models translates into artificial neural networks (ANNs ...
Liotta, Antonio +9 more
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THE INTELLIGENT SYSTEM FOR AUTOMOTIVE FUELS QUALITY DEFINITION
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2013 An intelligent system, based on hydrodynamic method and artificial neural networks usage for automotive fuels quality definition have been developed. Artificial neural networks optimal structures for the octane number of gasoline, cetane number, cetane ...
Volodymyr Drevetskiy , Marko Klepach
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Observational Cosmology with Artificial Neural Networks
Universe, 2022 In cosmology, the analysis of observational evidence is very important when testing theoretical models of the Universe. Artificial neural networks are powerful and versatile computational tools for data modelling and have recently been considered in the ...
Juan de Dios Rojas Olvera +2 more
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Robust Local Cluster Neural Networks (ESANN) [PDF]
, 2006 Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf +3 more
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