Results 31 to 40 of about 5,989,108 (296)
Neural computing with coherent laser networks
Nanophotonics, 2023 Abstract We show that coherent laser networks (CLNs) exhibit emergent neural computing capabilities. The proposed scheme is built on harnessing the collective behavior of laser networks for storing a number of phase patterns as stable fixed points of the governing dynamical equations and retrieving such patterns through proper ...
Mohammad‐Ali Miri, Vinod Menon
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Output Partitioning of Neural Networks [PDF]
, 2005 Many constructive learning algorithms have been proposed to find an appropriate network structure for a classification problem automatically. Constructive learning algorithms have drawbacks especially when used for complex tasks and modular approaches ...
Yinan, Q. +11 more
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Evolutionary cellular configurations for designing feed-forward neural networks architectures [PDF]
, 2001 Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001In the recent years, the interest to develop automatic methods to determine appropriate architectures of feed-forward ...
Gutiérrez Sánchez, Germán +6 more
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Quantum Neural Network for Quantum Neural Computing
Research, 2023 Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model for quantum neural computing using (classically controlled) single-qubit operations and measurements on real ...
Min-Gang Zhou +5 more
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3D freeform surfaces from planar sketches using neural networks [PDF]
, 2006 A novel intelligent approach into 3D freeform surface reconstruction from planar sketches is proposed. A multilayer perceptron (MLP) neural network is employed to induce 3D freeform surfaces from planar freehand curves.
Terchi, A +14 more
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Computer networks anomaly detection by using PCA & pattern recognition [PDF]
Mathematics and Computational SciencesThe detection of anomalies in computer networks is one of the most considerable challenges that experts in this field are facing nowadays. Thus far, different artificial intelligence methods and algorithms have been proposed, tested, and utilized for ...
Elham Bideh, Javad Vahidi
doaj +1 more source
Physics Inspired Deep Neural Networks for Top Quark Reconstruction [PDF]
EPJ Web of Conferences, 2020 Deep neural networks (DNNs) have been applied to the fields of computer vision and natural language processing with great success in recent years. The success of these applications has hinged on the development of specialized DNN architectures that take ...
Greif Kevin, Lannon Kevin
doaj +1 more source
Artificial neural network approach for acute poisoning mortality prediction in emergency departments [PDF]
Clinical and Experimental Emergency Medicine, 2021 Objective The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources.
Seon Yeong Park +6 more
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Acta Dermato-Venereologica, 2022 Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with 6 ...
Martin Gillstedt +8 more
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Automatic Gully Detection: Neural Networks and Computer Vision
Remote Sensing, 2020 Transition from manual (visual) interpretation to fully automated gully detection is an important task for quantitative assessment of modern gully erosion, especially when it comes to large mapping areas.
Artur M. Gafurov, Oleg P. Yermolayev
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