Results 21 to 30 of about 3,700 (260)

Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms

open access: yesBMC Medical Informatics and Decision Making, 2023
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
doaj   +1 more source

Influence Area of Overlap Singularity in Multilayer Perceptrons

open access: yesIEEE Access, 2018
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
doaj   +1 more source

Selection of Parameters and Architecture of Multilayer Perceptrons for Predicting Ice Coverage of Lakes

open access: yesEkológia (Bratislava), 2017
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
doaj   +1 more source

FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons

open access: yesIEEE Open Journal of Circuits and Systems, 2021
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
doaj   +1 more source

Neural model for calculating the bearing capacity of driven and bored piles [PDF]

open access: yesREM: International Engineering Journal
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
doaj   +2 more sources

COMPARISON OF THE INFLUENCE OF STANDARDIZATION AND NORMALIZATION OF DATA ON THE EFFECTIVENESS OF SPONGY TISSUE TEXTURE CLASSIFICATION

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019
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
doaj   +1 more source

Smoke Detection from Himawari-8 Satellite Data over Kalimantan Island Using Multilayer Perceptrons

open access: yesRemote Sensing, 2021
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
doaj   +1 more source

A Variational Formulation for the Multilayer Perceptron [PDF]

open access: yes, 2006
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

open access: yesFrontiers in Mechanical Engineering, 2019
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
doaj   +1 more source

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

open access: yesJournal of Imaging, 2023
Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition.
Ladislav Karrach, Elena Pivarčiová
doaj   +1 more source

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