Buchumschlag

The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data

The article discusses available approaches to predicting the transmission coefficient of metamaterials. In the paper was proposed different approaches that create the possibility of using data from various open sources, as well as the possibility of encoding complete structural information about the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Datum:	2025
1. Verfasser:	Krysenko, Pavlo
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Kyiv National University of Construction and Architecture 2025
Schlagworte:	deep learning low pass filter convolutional neural networks metamaterials
Online Zugang:	https://es-journal.in.ua/article/view/328625
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Environmental safety and natural resources

Institution

Environmental safety and natural resources

Ähnliche Einträge

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
von: Khodnevych, Yaroslav, et al.
Veröffentlicht: (2025)

A prediction of the frequency of non-periodic signals based on convolutional neural networks
von: Subbotin, S. A., et al.
Veröffentlicht: (2018)

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
von: Кузнєцова, Н. В., et al.
Veröffentlicht: (2023)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
von: Gorbunov, A. A., et al.
Veröffentlicht: (2017)

Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
von: Vyzhva, Serhiy, et al.
Veröffentlicht: (2025)

Implementation of neural network based 2D seismic images super resolution approach
von: Noskov, Oleksii, et al.
Veröffentlicht: (2025)

Neural and Bayesian networks in the problem of credit risk analysis
von: Kuznietsova, N. V., et al.
Veröffentlicht: (2015)

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER
von: Basok , B., et al.
Veröffentlicht: (2025)

Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
von: Khodnevych, Yaroslav V., et al.
Veröffentlicht: (2023)

Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid
von: Sahraoui, H., et al.
Veröffentlicht: (2021)

New application of artificial neural network-based direct power control for permanent magnet synchronous generator
von: Akkouchi, K., et al.
Veröffentlicht: (2021)

Neural network based method of a user identification by keyboard handwriting
von: Danyliuk, I. I., et al.
Veröffentlicht: (2018)

SENSITIVITY ENHANCEMENT OF A HIGH-VOLTAGE POWER CABLES PARTIAL-DISCHARGE-CHARACTERISTICS-BASED DIAGNOSTICS SYSTEM BY MEANS OF LOW-PASS FILTERS
von: Bezprozvannych, G. V., et al.
Veröffentlicht: (2012)

Sliding mode approach for control and observation of a three phase AC-DC pulse-width modulation rectifier
von: Sakri, D., et al.
Veröffentlicht: (2023)

Neural network modeling of critical tempe-ratures for steel pitting.
von: Korniienko, O. V., et al.
Veröffentlicht: (2019)

Data arrangements to train an artificial neural network within solving the tasks for calculating the Chézy roughness coefficient under uncertainty of parameters determining the hydraulic resistance to flow in river channels
von: Khodnevych, Yaroslav V., et al.
Veröffentlicht: (2022)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
von: Bengharbi, A. A., et al.
Veröffentlicht: (2022)

Application of neural networks modeling for interpretation of acoustic logging traces
von: Lazarenko, M., et al.
Veröffentlicht: (2015)

Development of a NARX neural network for a tribo-aero-electrostatic separator with rotating disk electrodes
von: Ayache, Z., et al.
Veröffentlicht: (2026)

NEURAL NETWORK MODELING IN PROBLEMS OF PREDICTION MODES OF ELECTRICAL GRIDS
von: Moroz, A. N., et al.
Veröffentlicht: (2016)

A METHOD OF WAVELET ANALYSIS OF TIME SERIES OF PARAMETERS OF DIELECTRIC ABSORPTION OF ELECTRICAL INSULATING STRUCTURES
von: Bezprozvannych, G. V., et al.
Veröffentlicht: (2020)

Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5
von: Fu, Minglei, et al.
Veröffentlicht: (2017)

Neural network modeling in the problem of localization earthquake of Ukraine
von: Gerasymenko, O.O., et al.
Veröffentlicht: (2020)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: Biblik, Irina V., et al.
Veröffentlicht: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: Biblik, Irina V., et al.
Veröffentlicht: (2018)

Self-learning neural network technologies in the systems of structural recognition of visual objects
von: Berestovskii, A. E., et al.
Veröffentlicht: (2015)

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines
von: Sakhara, S., et al.
Veröffentlicht: (2023)

Neural network model field of the first arrival of seismic waves in Ukraine
von: Lazarenko, M. A., et al.
Veröffentlicht: (2016)

Overview and comparison of neural network models for diagnostics and quality control in the production of printed circuit boards
von: Верлань , А.А., et al.
Veröffentlicht: (2025)

Neural network modeling of Herglotz—Wiechert inversion of multiparametric travel-time curves of seismic waves
von: Lazarenko, M., et al.
Veröffentlicht: (2017)

Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
von: Parimalasundar, E., et al.
Veröffentlicht: (2023)

Clustering with Kohonen Neural Network and Modified Hierarchical Algorithm Chameleon in Various Subject Areas
von: Ляховець, А. В.
Veröffentlicht: (2013)

Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network
von: Praveen Kumar, T., et al.
Veröffentlicht: (2022)

Use of neural networks for studying nontraditional hydrocarbon reservoirs (an example of Visean black shales of the Dnipro-Donets Basin)
von: Kurtyi, V.O., et al.
Veröffentlicht: (2025)

Complex systems in geophysics: methods of research and prediction of their behavior
von: Mykulyak, Serhiy
Veröffentlicht: (2025)

Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks
von: Mimouni, A., et al.
Veröffentlicht: (2023)

Characterization of regular convolutions
von: Sagi, Sankar
Veröffentlicht: (2018)

DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS
von: Bondarenko, V. E., et al.
Veröffentlicht: (2017)

SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM
von: Kuznetsov, B. I., et al.
Veröffentlicht: (2015)