Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
Saved in:
| Date: | 2023 |
|---|---|
| Main Authors: | Y. Khodnevych, D. Stefanyshyn |
| Format: | Article |
| Language: | English |
| Published: |
2023
|
| Series: | Environmental safety and natural resources |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001465340 |
| 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
Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
by: Khodnevych, Yaroslav V., et al.
Published: (2023)
by: Khodnevych, Yaroslav V., et al.
Published: (2023)
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
by: Khodnevych, Yaroslav V., et al.
Published: (2022)
by: Khodnevych, Yaroslav V., et al.
Published: (2022)
Data arrangements to train an artificial neural network within solving the tasks for calculating the Chйzy roughness coefficient under uncertainty of parameters determining the hydraulic resistance to flow in river channels
by: Ya. V. Khodnevych, et al.
Published: (2022)
by: Ya. V. Khodnevych, et al.
Published: (2022)
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)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
The geology we need
by: V. V. Yanko, et al.
Published: (2022)
by: V. V. Yanko, et al.
Published: (2022)
We need help
by: P. V. Zhuk
Published: (2015)
by: P. V. Zhuk
Published: (2015)
Usage of artificial neural networks in the energy sector
by: Lazarenko, D.V.
Published: (2016)
by: Lazarenko, D.V.
Published: (2016)
Usage of artificial neural networks in the energy sector
by: D. V. Lazarenko
Published: (2016)
by: D. V. Lazarenko
Published: (2016)
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)
Artificial neural networks: future of use in law enforcement
by: M. I. Maietnyi
Published: (2021)
by: M. I. Maietnyi
Published: (2021)
On the one-stringed criticism, or, Why do we need pseudonyms
by: P. Mykhed
Published: (2013)
by: P. Mykhed
Published: (2013)
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 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)
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)
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)
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)
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)
What kind of "Flora of Ukraine" do we need?
by: S. L. Mosiakin, et al.
Published: (2005)
by: S. L. Mosiakin, et al.
Published: (2005)
Why do We Need Geo¬informatics Specialists and How to Use Them Correctly?
by: S. B. Radchenko
Published: (2019)
by: S. B. Radchenko
Published: (2019)
Comparative Features of Multilayered Iterative Algorithm GMDH and Deep Feed-Forward Neural Networks
by: O. H. Moroz, et al.
Published: (2021)
by: O. H. Moroz, et al.
Published: (2021)
Sophistication parliamentarism as a factor in achieving the regime consolidated democracy
by: Yu. D. Dreval
Published: (2012)
by: Yu. D. Dreval
Published: (2012)
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)
One more consequence from the impact of artificial light at night
by: M. Peregrym
Published: (2023)
by: M. Peregrym
Published: (2023)
Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
by: Mustafayev, E., et al.
Published: (2021)
by: Mustafayev, E., et al.
Published: (2021)
Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
by: E. Mustafayev, et al.
Published: (2021)
by: E. Mustafayev, et al.
Published: (2021)
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)
Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
by: Parimalasundar, E., et al.
Published: (2023)
by: Parimalasundar, E., et al.
Published: (2023)
Adaptive Quasi-Optimal Control in Pulse Convertors with Artificial Neural Network Model of Power Part
by: V. P. Vojtenko
Published: (2016)
by: V. P. Vojtenko
Published: (2016)
DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR INFORMATION AND MEASUREMENT SYSTEM FOR CONTROLLING THE GEOMETRIC DIMENSIONS OF POWER EQUIPMENT
by: Kacprzyk, Janusz, et al.
Published: (2025)
by: Kacprzyk, Janusz, et al.
Published: (2025)
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)
The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
by: Krysenko, Pavlo
Published: (2025)
by: Krysenko, Pavlo
Published: (2025)
Existence and exponential stability of periodic solution for fuzzy BAM neural networks with periodic coefficient
by: Dai-xi, Liao, et al.
Published: (2011)
by: Dai-xi, Liao, et al.
Published: (2011)
Existence and exponential stability of periodic solution for fuzzy BAM neural networks with periodic coefficient
by: Slyusarchuk, V. Yu., et al.
Published: (2011)
by: Slyusarchuk, V. Yu., et al.
Published: (2011)
Recurrent neural network usage for computer-aided lung cancer detection system
by: B. V. Chapaliuk, et al.
Published: (2019)
by: B. V. Chapaliuk, et al.
Published: (2019)
Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks
by: Mimouni, A., et al.
Published: (2023)
by: Mimouni, A., et al.
Published: (2023)
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)
Similar Items
-
Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
by: Khodnevych, Yaroslav V., et al.
Published: (2023) -
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
by: Khodnevych, Yaroslav V., et al.
Published: (2022) -
Data arrangements to train an artificial neural network within solving the tasks for calculating the Chйzy roughness coefficient under uncertainty of parameters determining the hydraulic resistance to flow in river channels
by: Ya. V. Khodnevych, et al.
Published: (2022) -
Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
by: Khodnevych, Yaroslav, et al.
Published: (2025) -
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)