Neural networks' learning process acceleration
Saved in:
| Date: | 2020 |
|---|---|
| Main Authors: | L. Katerynych, M. Veres, E. Safarov |
| Format: | Article |
| Language: | English |
| Published: |
2020
|
| Series: | Problems in programming |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001163067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)
by: Katerynych, L., et al.
Published: (2020)
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)
by: Katerynych, L., et al.
Published: (2020)
Neural network technologies to processing natural language texts in adaptive learning systems
by: I. M. Domanetska, et al.
Published: (2017)
by: I. M. Domanetska, et al.
Published: (2017)
Structural and Parametric Synthesis of Deep Learning Neural Networks
by: V. M. Syniehlazov, et al.
Published: (2020)
by: V. M. Syniehlazov, et al.
Published: (2020)
Two dimensional model of learning in spiking neural networks with homeostasis and reward
by: V. M. Osaulenko
Published: (2017)
by: V. M. Osaulenko
Published: (2017)
Application of Deep Learning Neural Network for Classification of Big Data of Astronomic Observations
by: A. A. Gorbunov, et al.
Published: (2017)
by: A. A. Gorbunov, et al.
Published: (2017)
APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
by: Gorbunov, A. A., et al.
Published: (2017)
by: Gorbunov, A. A., et al.
Published: (2017)
Self-learning neural network technologies in the systems of structural recognition of visual objects
by: Berestovskii, A. E., et al.
Published: (2015)
by: Berestovskii, A. E., et al.
Published: (2015)
Evaluation of the Features Significance Based on Neural Networks in Tasks of the Analysis of the Distance Learning Quality
by: E. M. Filonenko, et al.
Published: (2018)
by: E. M. Filonenko, et al.
Published: (2018)
Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
by: T. A. Samoljuk
Published: (2017)
by: T. A. Samoljuk
Published: (2017)
Improving face recognition models using convolutional neural networks, metric learning and optimization methods
by: A. M. Litvynchuk, et al.
Published: (2021)
by: A. M. Litvynchuk, et al.
Published: (2021)
Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields
by: M. Kosovets, et al.
Published: (2021)
by: M. Kosovets, et al.
Published: (2021)
Developing a semantic image model using machine learning based on convolutional neural networks
by: P. I. Andon, et al.
Published: (2020)
by: P. I. Andon, et al.
Published: (2020)
Developing a semantic image model using machine learning based on convolutional neural networks
by: Andon, P.I., et al.
Published: (2020)
by: Andon, P.I., et al.
Published: (2020)
Transforming governance: enabling scalable and adaptable decentralized networks on EVM-compatible blockchain
by: Katerynych, L.O., et al.
Published: (2024)
by: Katerynych, L.O., et al.
Published: (2024)
Neural network modeling of graphic recognition processes
by: Ye. M. Chichirin, et al.
Published: (2019)
by: Ye. M. Chichirin, et al.
Published: (2019)
Analyzing the models of speech recognition on the basis of neural networks of deep learning for examination of digital phonograms
by: V. I. Solovev, et al.
Published: (2021)
by: V. I. Solovev, et al.
Published: (2021)
Deep neural network based on generalized neo-fuzzy neurons and its learning based on backpropagation
by: Ye. V. Bodianskyi, et al.
Published: (2021)
by: Ye. V. Bodianskyi, et al.
Published: (2021)
Sonvergence of Sequential Gradient Learning Algorithms in Neural Networks for Online Identification of Nonlinear Systems: a Special Case
by: L. S. Zhiteckii, et al.
Published: (2015)
by: L. S. Zhiteckii, et al.
Published: (2015)
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)
Сonvergence of Sequential Gradient Learning Algorithms in Neural Networks for Online Identification of Nonlinear Systems: a Special Case
by: Zhiteckii, L.S., et al.
Published: (2015)
by: Zhiteckii, L.S., et al.
Published: (2015)
Using an ensemble of convolutional neural networks to process remote sensing data
by: E. E. Marushko, et al.
Published: (2018)
by: E. E. Marushko, et al.
Published: (2018)
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)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
Application of the volume learning algorithm artificial neural networks for recognition of the type of interaction between neurons from their cross-correlation histograms
by: Kovalishyn, V.V., et al.
Published: (2005)
by: Kovalishyn, V.V., et al.
Published: (2005)
Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
by: Vyzhva, Serhiy, et al.
Published: (2025)
by: Vyzhva, Serhiy, et al.
Published: (2025)
Neural-network-based methods for ARPES data processing (review article)
by: Yu. V. Pustovit, et al.
Published: (2024)
by: Yu. V. Pustovit, et al.
Published: (2024)
Neural-network-based methods for ARPES data processing (review article)
by: Yu. V. Pustovit, et al.
Published: (2024)
by: Yu. V. Pustovit, et al.
Published: (2024)
Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
by: O. M. Stankevych, et al.
Published: (2024)
by: O. M. Stankevych, et al.
Published: (2024)
Scoring modeling based on neural networks for determining a bank borrower's rating
by: O. M. Vasyliev
Published: (2020)
by: O. M. Vasyliev
Published: (2020)
Application of neural networks in OLAP-systems
by: Nabibayeva, G.Ch.
Published: (2024)
by: Nabibayeva, G.Ch.
Published: (2024)
Formal verification of deep neural networks
by: Panchuk, B.O.
Published: (2024)
by: Panchuk, B.O.
Published: (2024)
The Software Neural Network System for Monitoring Space Telemetry
by: V. V. Ganchenko, et al.
Published: (2013)
by: V. V. Ganchenko, et al.
Published: (2013)
Application of neural networks to prediction of company future development
by: Dvořáková, L., et al.
Published: (2015)
by: Dvořáková, L., et al.
Published: (2015)
Application of neural networks to prediction of company future development
by: L. Dvořáková, et al.
Published: (2015)
by: L. Dvořáková, et al.
Published: (2015)
Neural network for seismic shaking intensity modeling
by: Lazarenko, M., et al.
Published: (2010)
by: Lazarenko, M., et al.
Published: (2010)
Neural network for seismic shaking intensity modeling
by: M. Lazarenko, et al.
Published: (2010)
by: M. Lazarenko, et al.
Published: (2010)
Synthesis of optimal structure of deep neural network
by: Yu. Koval, et al.
Published: (2016)
by: Yu. Koval, et al.
Published: (2016)
Neural network modeling in the problem of localization earthquake of Ukraine
by: O. O. Herasymenko, et al.
Published: (2020)
by: O. O. Herasymenko, et al.
Published: (2020)
Neural network modeling in the problem of localization earthquake of Ukraine
by: Gerasymenko, O.O., et al.
Published: (2020)
by: Gerasymenko, O.O., et al.
Published: (2020)
Similar Items
-
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020) -
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020) -
Neural network technologies to processing natural language texts in adaptive learning systems
by: I. M. Domanetska, et al.
Published: (2017) -
Structural and Parametric Synthesis of Deep Learning Neural Networks
by: V. M. Syniehlazov, et al.
Published: (2020) -
Two dimensional model of learning in spiking neural networks with homeostasis and reward
by: V. M. Osaulenko
Published: (2017)