Results 21 to 30 of about 219,698 (314)
Measurement: Sensors, 2021 The convolutional neural network is a subfield of artificial neural networks and has made great achievements in various domains over the past decade.
Hengyi Li +5 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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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
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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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Multi-Classifier of DDoS Attacks in Computer Networks Built on Neural Networks
Applied Sciences, 2021 The great commitment in different areas of computer science for the study of computer networks used to fulfill specific and major business tasks has generated a need for their maintenance and optimal operability. Distributed denial of service (DDoS) is a
Andrés Chartuni, José Márquez
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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
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Computing with dynamic attractors in neural networks [PDF]
Biosystems, 1995 In this paper we report on some new architectures for neural computation, motivated in part by biological considerations. One of our goals is to demonstrate that it is just as easy for a neural net to compute with arbitrary attractors--oscillatory or chaotic--as with the more usual asymptotically stable fixed points.
Hirsch, MW, Baird, B
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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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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
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A neural network for shortest path computation [PDF]
IEEE Transactions on Neural Networks, 2001 This paper presents a new neural network to solve the shortest path problem for inter-network routing. The proposed solution extends the traditional single-layer recurrent Hopfield architecture introducing a two-layer architecture that automatically guarantees an entire set of constraints held by any valid solution to the shortest path problem.
Filipe Araújo +2 more
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