[PDF][PDF] COMPARISON OF USAGE OF DIFFERENT NEURAL STRUCTURES TO PREDICT AAO LAYER THICKNESS.

A Vagaská, M Gombár - Tehnicki vjesnik/Technical Gazette, 2017 - core.ac.uk
Original scientific paper The paper deals with the comparison of usage of three basic types
of neural units in order to create the most suitable model predicting determining the final …

Usage of neural network to predict aluminium oxide layer thickness

P Michal, A Vagaská, M Gombár, J Kmec… - The Scientific World …, 2015 - Wiley Online Library
This paper shows an influence of chemical composition of used electrolyte, such as amount
of sulphuric acid in electrolyte, amount of aluminium cations in electrolyte and amount of …

Identification of shaft centerline orbit for wind power units based on Hopfield neural network improved by simulated annealing

K Ren, J Qu - Mathematical problems in engineering, 2014 - Wiley Online Library
In the maintenance system of wind power units, shaft centerline orbit is an important feature
to diagnosis the status of the unit. This paper presents the diagnosis of the orbit as follows …

[PDF][PDF] The application of neural networks to control technological process

A Vagaská, P Michal, I Bukovský, M Gombár… - … on Circuits and …, 2013 - wseas.com
The paper deals with the possibilities of control andoptimization of the technological process
of aluminum anodicoxidation using neural networks and Design of Experiments inorder to …

Monitoring of cardiac arrhythmia patterns by adaptive analysis

JEC Herrera, RR Jorge, OOV Villegas… - Advances on P2P …, 2017 - Springer
In this paper, a study and development of a monitoring adaptive system based on dynamic
quadratic neural unit are presented. The system is trained with a recurrent learning method …

Review on higher-order neural units to monitor cardiac arrhythmia patterns

A Martinez Molina, R Rodriguez Jorge… - Advances in Digital …, 2017 - ebooks.iospress.nl
An electrocardiogram (ECG) is a non-invasive technique that checks for problems with the
electrical activity of a patient's heart. ECG is economical and extremely versatile. Some of its …

Neural network approach to railway stand lateral skew control

PM Benes, I Bukovsky, M Cejnek, J Kalivoda - arXiv preprint arXiv …, 2014 - arxiv.org
The paper presents a study of an adaptive approach to lateral skew control for an
experimental railway stand. The preliminary experiments with the real experimental railway …

Cardiac Arrhythmia prediction by adaptive analysis via Bluetooth

R Rodrguez-Jorge, J Bila - Mendel, 2020 - flames.test.infv.eu
In this work, the development of a data acquisition system for adaptive monitoring based on
a dynamic quadratic neural unit is presented. Acquisition of the continuous signal is …

Prediction of highly non-stationary time series using higher-order neural units

R Rodríguez Jorge, E Martínez García… - Advances on P2P …, 2018 - Springer
Adaptive predictive models can use conventional and nonconventional neural networks for
highly non-stationary time series prediction. However, conventional neural networks present …

[PDF][PDF] Mathematical modelling and description of the technological process of aluminum anodic oxidation by using the neural networks

A Vagaská, P Michal, I Bukovský… - International Journal of …, 2014 - academia.edu
In this paper the usage of neural networks and Design of Experiments methodology in order
to control and optimize the technological process of aluminium anodic oxidation is …