Using spreadsheets as learning tools for computer simulation of neural networks [PDF]
SHS Web of Conferences, 2020 The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed.
Semerikov Serhiy +5 more
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Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]
, 2008 Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization.
Sendhoff, Bernhard +12 more
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Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot
Освітній вимір, 2018 Semerikov S.O., Teplytsʹkyy I.O., Yechkalo YU.V. and Kiv A.E. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot.
Сергій Семеріков +3 more
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Integrating evolutionary computation with neural networks [PDF]
Proceedings Electronic Technology Directions to the Year 2000, 2002 There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques.
Vonk, E. +3 more
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Convolutional Neural Networks and Computer Vision
Applied SciencesThe rapid development of artificial intelligence has transformed computer vision from a predominantly laboratory-oriented discipline into a broad family of deployable technologies for sensing, interpretation, decision support, and process automation [...]
Luis Usero +2 more
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Anti-periodic behavior for quaternion-valued delayed cellular neural networks
Advances in Difference Equations, 2021 In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
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The use of neural networks for fitting complex kinetic data [PDF]
, 1996 Congrès ESCAPE-3: European Symposium on Computer Aided Process Engineering n.3, Graz , Autriche, 1993In this paper the use of neural networks for fitting complex kinetic data is discussed.
Zaldívar, J.M. +3 more
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Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches [PDF]
, 2023 Graph Neural Networks (GNNs) are a family of graph networks inspired by mechanisms existing between nodes on a graph. In recent years there has been an increased interest in GNN and their derivatives, i.e., Graph Attention Networks (GAT), Graph ...
Lukasikt, S, Krzywda, M, Gandomi, AH
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Modulation of feedback-related negativity by objective and subjective response correctness
Scientific ReportsMonitoring actions and outcomes is essential for flexible adaptation to environmental demands. Information about errors is important regardless of whether it is internally generated or externally signaled.
Yasuhisa Maruyama +2 more
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Probabilistic classification of quality of service in wireless computer networks
ICT Express, 2019 There is an increasing reliance on wireless computer networks for communicating various types of time sensitive applications such as voice over internet protocol (VoIP). Quality of service (QoS) can play an important role in wireless computer networks as
Abdussalam Salama, Reza Saatchi
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