Results 61 to 70 of about 2,089,547 (271)
New Journal of Physics, 2020 We construct an artificial neural network to study the pairing symmetries in disordered superconductors. For Hamiltonians on square lattice with s-wave, d-wave, and nematic pairing potentials, we use the spin-polarized local density of states near a ...
Liang Chen +3 more
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Int. J. Distributed Sens. Networks, 2019 Smart grids have recently attracted increasing attention because of their reliability, flexibility, sustainability, and efficiency. A typical smart grid consists of diverse components such as smart meters, energy management systems, energy storage ...
Jihoon Moon +3 more
semanticscholar +1 more source
Implementing artificial neural networks through bionic construction.
PLoS ONE, 2019 It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He +9 more
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International Journal of Assessment Tools in Education, 2019 In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes.
G. Aksu, C. Güzeller, M. Eser
semanticscholar +1 more source
Searching for turbulence models by artificial neural network [PDF]
, 2016 Artificial neural network (ANN) is tested as a tool for finding a new subgrid model of the subgrid-scale (SGS) stress in large-eddy simulation. ANN is used to establish a functional relation between the grid-scale (GS) flow field and the SGS stress ...
Masataka Gamahara, Y. Hattori
semanticscholar +1 more source
Demand forecasting in a Supply Chain using Machine Learning Algorithms [PDF]
مجله مدل سازی در مهندسی, 2015 —the purpose of this paper is to compare two artificial intelligence algorithms for forecasting supply chain demand. In first step data are prepared for entering into forecasting models.
Mohsen Shafiei Nikabadi +2 more
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Eigen Artificial Neural Networks
, 2019 {"references": ["Francisco Yepes Barrera. B\u00fasqueda de la estructura \u00f3ptima de redes neurales con algoritmos gen\u00e9ticos y simulated annealing. verificaci\u00f3n con el benchmark proben1. In- teligencia Artificial, Revista Iberoamericana de IA, 11(34):41\u201361, 2007.", "Christopher M. Bishop.
openaire +5 more sources
Neural Networks Architecture Evaluation in a Quantum Computer
, 2017 In this work, we propose a quantum algorithm to evaluate neural networks architectures named Quantum Neural Network Architecture Evaluation (QNNAE). The proposed algorithm is based on a quantum associative memory and the learning algorithm for artificial
da Silva, Adenilton José +1 more
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR
Acta Polytechnica CTU Proceedings, 2017 This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly
Martin Ruzek
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Dissecting the Biological Motherboard (Systems Biology and Beyond) [PDF]
, 2008 Genome-scale molecular networks, including gene pathways, gene regulatory networks and protein interactions, are central to the investigation of the nascent disciplines of systems biology and bio-complexity.
Abhay Krishna, Ajit Narayanan
core +2 more sources