Results 91 to 100 of about 853,385 (276)
Utilization of Artificial Neural Network
ARCHive-SR, 2018 Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction ...
Sherif Mohamed Hafez
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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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Advanced Functional Materials, EarlyView.A MXene/PEDOT coating enables multimodal functionality and dual‐analyte detection of dopamine and serotonin in flexible microelectrode arrays while enhancing electrophysiological recording quality. The anti‐fouling, low‐impedance interface overcomes key limitations of conventional coatings, providing a robust and versatile platform to investigate the ...
Ilaria Gatti +8 more
wiley +1 more source
A novel time difference of arrival localization algorithm using a neural network ensemble model
International Journal of Distributed Sensor Networks, 2018 In a localization system, time difference of arrival technique is widely used to estimate the location of a mobile station. To improve the performance of mobile station location estimation, a novel algorithm-based artificial neural network ensemble and ...
Zhenkai Zhang +3 more
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Analysis of Neural Networks in Terms of Domain Functions [PDF]
, 2002 Despite their success-story, artificial neural networks have one major disadvantage compared to other techniques: the inability to explain comprehensively how a trained neural network reaches its output; neural networks are not only (incorrectly) seen as
Slump, Cees +2 more
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Advanced Functional Materials, EarlyView.Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
Optimising the topology of complex neural networks [PDF]
, 2007 In this paper, we study instances of complex neural networks, i.e. neural netwo rks with complex topologies. We use Self-Organizing Map neural networks whose n eighbourhood relationships are defined by a complex network, to classify handwr itten digits ...
Berry, Hugues +2 more
core +3 more sources
Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors
Advanced Functional Materials, EarlyView.Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee +5 more
wiley +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Advanced Functional Materials, EarlyView.Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
SOFTWARE IMPLEMENTATION OF THE ARTIFICIAL NEURAL NETWORK FOR VIRTUAL OBJECTS СONTROL
Системный анализ и прикладная информатика, 2018 Artificial neural networks (ANN) are now widely used in control and forecasting problems. The purpose of this work is the implementation of an artificial neural network for virtual objects control in a computer game of football.
Yu. B. Popova, S. V. Yatsynovich
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