Results 21 to 30 of about 3,700 (260)
Background The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs.
Alexander Olza +2 more
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Influence Area of Overlap Singularity in Multilayer Perceptrons
The existing overlap singularities in the parameter space significantly affect the learning dynamics of the multilayer perceptrons. From the obtained theoretical learning trajectories near overlap singularity, when the learning process has been affected ...
Weili Guo +6 more
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The ice cover on lakes is one of the most influential factors in the lakes’ winter aquatic ecosystem. The paper presents a method for predicting ice coverage of lakes by means of multilayer perceptrons.
Baklagin Nikolaevich Vyacheslav
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With the growing demand for deploying Deep Learning models to the “edge”, it is paramount to develop techniques that allow to execute state-of-the-art models within very tight and limited resource constraints.
Simon Wiedemann +6 more
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Neural model for calculating the bearing capacity of driven and bored piles [PDF]
Predicting the pile’s bearing capacity still represents a significant challenge in Geotechnical Engineering, since it requires the knowledge of soil parameters and the soil-pile interaction mechanism during and after foundation execution.
Juliele Nascimento Jesus +2 more
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The aim of this article was to compare the influence of the data pre-processing methods – normalization and standardization – on the results of the classification of spongy tissue images.
Róża Dzierżak
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Smoke Detection from Himawari-8 Satellite Data over Kalimantan Island Using Multilayer Perceptrons
The smoke from biomass burning on Kalimantan Island has caused severe environmental problems in Southeast Asia’s primary burning regions and surrounding regions due to the overspread haze.
Yuhao Mo +3 more
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A Variational Formulation for the Multilayer Perceptron [PDF]
In this work we present a theory of the multilayer perceptron from the perspective of functional analysis and variational calculus. Within this formulation, the learning problem for the multilayer perceptron lies in terms of finding a function which is an extremal for some functional.
Roberto Lopez, Eugenio Oñate
openaire +2 more sources
Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology
In the present paper, artificial neural networks (ANNs) are considered from a mathematical modeling point of view. A short introduction to feedforward neural networks is outlined, including multilayer perceptrons (MLPs) and radial basis function (RBF ...
Ivan Argatov
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Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition.
Ladislav Karrach, Elena Pivarčiová
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