Results 81 to 90 of about 2,089,547 (271)
, 2018 The role of neural network modeling in the learning content of the special course "Foundations of Mathematical Informatics" was discussed. The course was developed for the students of technical universities - future IT-specialists and directed to ...
Markova, Oksana +2 more
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NEW TECHNIQUES APPLIED IN ECONOMICS. ARTIFICIAL NEURAL NETWORK [PDF]
The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity.
Constantin Ilie, Margareta Udrescu
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The use of artificial neural networks in experimental data acquisition and aerodynamic design [PDF]
It is proposed that an artificial neural network be used to construct an intelligent data acquisition system. The artificial neural networks (ANN) model has a potential for replacing traditional procedures as well as for use in computational fluid ...
Meade, Andrew J., Jr.
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Artificial Neural Network Methods in Quantum Mechanics
, 1997 In a previous article we have shown how one can employ Artificial Neural Networks (ANNs) in order to solve non-homogeneous ordinary and partial differential equations.
A. Likas +20 more
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Neural networks for impact parameter determination [PDF]
, 2006 Accurate impact parameter determination in a heavy-ion collision is crucial for almost all further analysis. We investigate the capabilities of an artificial neural network in that respect.
Bass, Steffen A. +6 more
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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage
Brain SciencesBackground: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing ...
Yongqiang Zhang +5 more
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A Wavelet Neural Network for SAR Image Segmentation
Sensors, 2009 This paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability
Fa-Yu Wang, Xian-Bin Wen, Hua Zhang
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Insurability Challenges Under Uncertainty: An Attempt to Use the Artificial Neural Network for the Prediction of Losses from Natural Disasters [PDF]
The main difficulty for natural disaster insurance derives from the uncertainty of an event’s damages. Insurers cannot precisely appreciate the weight of natural hazards because of risk dependences.
Nouri Chtourou, Rim Jemli, Rochdi Feki
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Цифровая трансформацияThe article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling
D. O. Petrov
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A Neural-CBR System for Real Property Valuation [PDF]
, 2013 In recent times, the application of artificial intelligence (AI) techniques for real property valuation has been on the increase. Some expert systems that leveraged on machine intelligence concepts include rule-based reasoning, case-based reasoning and
Daramola, Olawande +3 more
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