Parallel realization of the solution of problems of prediction and classification for cluster based on artificial neural networks
An approach to the parallel solution of problems of classification and prediction for the apparatus of artificial neural networks in a large dimension of input and output data. Obtain the temporal characteristics of solving the problem of training neural networks with different architectures, the nu...
Saved in:
| Published in: | PROBLEMS IN PROGRAMMING |
|---|---|
| Date: | 2026 |
| Issue: | 2-3 |
| Pages: | 115-124 |
| ISSN: | 1727-4907 |
| Author Affiliations: |
|
| Main Authors: | Minukhin, S.V., Znakhur, S.V. |
| Format: | Article |
| Language: | Russian |
| Published: |
PROBLEMS IN PROGRAMMING
2026
|
| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/882 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Problems in programming |
| Download file: |
|
Institution
Problems in programmingSimilar Items
Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
by: O. Zozulya, et al.
Published: (2022)
by: O. Zozulya, et al.
Published: (2022)
An Artificial Neural Networks Modeling Environment for Solving a Clustering Task
by: Yu. V. Moskalenko
Published: (2019)
by: Yu. V. Moskalenko
Published: (2019)
Analysis of Artificial Neural Networks Training Models for Airfare Price Prediction
by: Ye. O. Kuptsova, et al.
Published: (2020)
by: Ye. O. Kuptsova, et al.
Published: (2020)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER
by: Basok , B., et al.
Published: (2025)
by: Basok , B., et al.
Published: (2025)
Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood
by: Bardak, S., et al.
Published: (2016)
by: Bardak, S., et al.
Published: (2016)
Usage of artificial neural networks in the energy sector
by: D. V. Lazarenko
Published: (2016)
by: D. V. Lazarenko
Published: (2016)
Usage of artificial neural networks in the energy sector
by: Lazarenko, D.V.
Published: (2016)
by: Lazarenko, D.V.
Published: (2016)
Realization of neural network algorithms for classification of technical state of composite materials by acoustic testing results
by: R. M. Galagan, et al.
Published: (2017)
by: R. M. Galagan, et al.
Published: (2017)
Histological and cytological images classification based on convolutional neural networks
by: O. M. Berezkyi, et al.
Published: (2017)
by: O. M. Berezkyi, et al.
Published: (2017)
Artificial neural networks using for solving of the tribological problems
by: V. M. Uvarov, et al.
Published: (2019)
by: V. M. Uvarov, et al.
Published: (2019)
Prediction of the future development of construction companies by means of artificial neural networks on the basis of data from the Czech Republic
by: M. Vochozka, et al.
Published: (2015)
by: M. Vochozka, et al.
Published: (2015)
Prediction of the future development of construction companies by means of artificial neural networks on the basis of data from the Czech Republic
by: Vochozka, M., et al.
Published: (2015)
by: Vochozka, M., et al.
Published: (2015)
A prediction of the frequency of non-periodic signals based on convolutional neural networks
by: S. O. Subbotin, et al.
Published: (2018)
by: S. O. Subbotin, et al.
Published: (2018)
A prediction of the frequency of non-periodic signals based on convolutional neural networks
by: Subbotin, S. A., et al.
Published: (2018)
by: Subbotin, S. A., et al.
Published: (2018)
Methods of parallel vertical data processing in neural networks
by: V. V. Hrytsyk, et al.
Published: (2014)
by: V. V. Hrytsyk, et al.
Published: (2014)
Artificial neural networks: future of use in law enforcement
by: M. I. Maietnyi
Published: (2021)
by: M. I. Maietnyi
Published: (2021)
Neural network control of mobile machines with parallel structures
by: S. V. Kovalevskyi, et al.
Published: (2016)
by: S. V. Kovalevskyi, et al.
Published: (2016)
Fuzzy probabilistic neural network in document classification tasks
by: A. L. Yerokhin, et al.
Published: (2018)
by: A. L. Yerokhin, et al.
Published: (2018)
Application of neural networks to prediction of company future development
by: L. Dvořáková, et al.
Published: (2015)
by: L. Dvořáková, et al.
Published: (2015)
Application of neural networks to prediction of company future development
by: Dvořáková, L., et al.
Published: (2015)
by: Dvořáková, L., et al.
Published: (2015)
Scalability of Parallel Batch Pattern Neural Network Training Algorithm
by: Turchenko, V.
Published: (2009)
by: Turchenko, V.
Published: (2009)
Artificial Neural Networks for Modeling of Crisis Management of National Economy
by: Ya. Savka
Published: (2020)
by: Ya. Savka
Published: (2020)
Using the Artificial Neural Networks for Forecasting the Risk of Bankruptcy of Banks
by: Ye. Markov
Published: (2018)
by: Ye. Markov
Published: (2018)
Using Artificial Neural Networks to Simulate the Financial Stability of Enterprise
by: L. N. Debunov
Published: (2017)
by: L. N. Debunov
Published: (2017)
Application of neural networks in the classification of medical images textures
by: R. Dzierїak, et al.
Published: (2018)
by: R. Dzierїak, et al.
Published: (2018)
Application of neural networks in the classification of medical images textures
by: Dzierżak, R., et al.
Published: (2018)
by: Dzierżak, R., et al.
Published: (2018)
NEURAL NETWORK MODELING IN PROBLEMS OF PREDICTION MODES OF ELECTRICAL GRIDS
by: Moroz, A. N., et al.
Published: (2016)
by: Moroz, A. N., et al.
Published: (2016)
Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
by: Bengharbi, A. A., et al.
Published: (2022)
by: Bengharbi, A. A., et al.
Published: (2022)
The use of Artificial Neural Networks for Process Control Hardware and Processing Complex
by: Ju. Zarubin, et al.
Published: (2013)
by: Ju. Zarubin, et al.
Published: (2013)
Combined Autoregressive-Neural Network Method for Predicting Time Series
by: G. A. Kravtsov, et al.
Published: (2020)
by: G. A. Kravtsov, et al.
Published: (2020)
Architectural and mathematical fundamentals of improvement neural networks for classification of images
by: V. I. Sliusar
Published: (2022)
by: V. I. Sliusar
Published: (2022)
Peculiarities of development of the artificial neural network used in the hybrid expert system
by: S. N. Konovalov, et al.
Published: (2018)
by: S. N. Konovalov, et al.
Published: (2018)
Prediction of Audience Reaction on Text-Visual Content Using Neural Networks
by: A. V. Anisimov, et al.
Published: (2021)
by: A. V. Anisimov, et al.
Published: (2021)
Neural networks application for cluster analysis of the healthcare system crisis
by: I. A. Markina, et al.
Published: (2016)
by: I. A. Markina, et al.
Published: (2016)
New application of artificial neural network-based direct power control for permanent magnet synchronous generator
by: Akkouchi, K., et al.
Published: (2021)
by: Akkouchi, K., et al.
Published: (2021)
Prediction of side effects of polypragmation using a graphical neural network
by: V. P. Kuznyak, et al.
Published: (2024)
by: V. P. Kuznyak, et al.
Published: (2024)
Predictive control of nonlinear objects using evolving feedforward neural networks
by: O. G. Rudenko, et al.
Published: (2015)
by: O. G. Rudenko, et al.
Published: (2015)
Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
by: Khodnevych, Yaroslav, et al.
Published: (2025)
by: Khodnevych, Yaroslav, et al.
Published: (2025)
COMPUTATIONAL EFFICIENCY OF AN ARTIFICIAL NEURAL NETWORK IN OPTIMIZING THE OPERATING CONDITIONS OF PATCH ANTENNAS
by: Butov, S., et al.
Published: (2026)
by: Butov, S., et al.
Published: (2026)
Similar Items
-
Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
by: O. Zozulya, et al.
Published: (2022) -
An Artificial Neural Networks Modeling Environment for Solving a Clustering Task
by: Yu. V. Moskalenko
Published: (2019) -
Analysis of Artificial Neural Networks Training Models for Airfare Price Prediction
by: Ye. O. Kuptsova, et al.
Published: (2020) -
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013) -
APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER
by: Basok , B., et al.
Published: (2025)