Results 31 to 40 of about 219,698 (314)
The use of neural networks for fitting complex kinetic data [PDF]
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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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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Performance Analysis of Deep Neural Networks Using Computer Vision [PDF]
INTRODUCTION: In recent years, deep learning techniques have been made to outperform the earlier state-of-the-art machine learning techniques in many areas, with one of the most notable cases being computer vision.
Nidhi Sindhwani +5 more
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Automatic Gully Detection: Neural Networks and Computer Vision
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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Towards neural-symbolic integration: the evolutionary neural logic networks [PDF]
This work presents the application of a new methodology for the production of neural logic networks into two real-world problems from the medical domain.
Tsakonas, Athanasios
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Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives
In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science.
Dorian Skrobek +8 more
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Benchmarking Neural Networks For Quantum Computations [PDF]
Revised substantially, and resubmitted to IEEE Transactions on Neural Networks and Learning ...
Nam H. Nguyen +3 more
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Generative capacities of cellular automata codification for evolution of NN codification [PDF]
Proceeding of: International Conference on Artificial Neural Networks. ICANN 2002, Madrid, Spain, August 28-30, 2002Automatic methods for designing artificial neural nets are desired to avoid the laborious and erratically human expert’s job. Evolutionary
Gutiérrez Sánchez, Germán +3 more
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Integrating evolutionary computation with neural networks [PDF]
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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On stability and model order reduction of perturbed nonlinear neural networks [PDF]
In this paper, the qualitative theory of large-scale dynamical systems is surveyed. In particular, the focus is the Hopfield Neural networks both with and without perturbations.
G. G. Grahovski +3 more
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