Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
Saved in:
| Date: | 2024 |
|---|---|
| Main Authors: | O. M. Stankevych, D. P. Rebot |
| Format: | Article |
| Language: | English |
| Published: |
2024
|
| Series: | Materials Science (Physicochemical mechanics of materials) |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001508507 |
| 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
Artificial Intelligence Systems in Adaptive Learning
by: V. Demianenko
Published: (2019)
by: V. Demianenko
Published: (2019)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
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)
Neural Distributed Representations for Artificial Intelligence and Modeling of Thinkingl
by: D. A. Rachkovskij, et al.
Published: (2022)
by: D. A. Rachkovskij, et al.
Published: (2022)
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)
Acoustic emission diagnostics of 1201-T aluminum alloy fatigue fracture initiation
by: V. R. Skalskyi, et al.
Published: (2012)
by: V. R. Skalskyi, et al.
Published: (2012)
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)
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)
Artificial swarm intelligence
by: Ia. V. Omelianenko, et al.
Published: (2024)
by: Ia. V. Omelianenko, et al.
Published: (2024)
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)
Artificial intelligence in management problems
by: A. Voronin, et al.
Published: (2024)
by: A. Voronin, et al.
Published: (2024)
About generation of artificial intelligence
by: A. I. Shevchenko
Published: (2016)
by: A. I. Shevchenko
Published: (2016)
Language, Communication and Artificial Intelligence
by: A. D. Bielova
Published: (2016)
by: A. D. Bielova
Published: (2016)
Modeling of artificial intelligence. Intelligent data analysis
by: S. V. Tereshchenko
Published: (2013)
by: S. V. Tereshchenko
Published: (2013)
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)
Control system for complex of electrofiltration and destruction of gas emissions with elements of artificial intelligence
by: L. Z. Bohuslavskyi, et al.
Published: (2017)
by: L. Z. Bohuslavskyi, et al.
Published: (2017)
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)
Increasing the reliability of mobile intelligent machines based on deep neural networks
by: S. V. Kovalevskyi, et al.
Published: (2018)
by: S. V. Kovalevskyi, et al.
Published: (2018)
Artificial intelligence in geophysics: Opportunities and risks
by: Bakhova, N.I.
Published: (2025)
by: Bakhova, N.I.
Published: (2025)
Manifestation of artificial intelligence in human life
by: A. V. Kasianenko, et al.
Published: (2022)
by: A. V. Kasianenko, et al.
Published: (2022)
APPLICATION OF ARTIFICIAL INTELLIGENCE IN MECHATRONIC SYSTEMS
by: Kot, M. G., et al.
Published: (2013)
by: Kot, M. G., et al.
Published: (2013)
Strong Artificial Intelligence: Background Precondition
by: G. A. Kravtsov, et al.
Published: (2019)
by: G. A. Kravtsov, et al.
Published: (2019)
Implementation of artificial intelligence technology in Sweden
by: I. S. Balanchuk
Published: (2020)
by: I. S. Balanchuk
Published: (2020)
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)
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)
Diagnostics of fracture mechanisms of 38KhN3MFA steel by wavelet-transformations of acoustic emission signals
by: V. R. Skalskyi, et al.
Published: (2011)
by: V. R. Skalskyi, et al.
Published: (2011)
Results of application of modular artificial neural networks for intelligent data analysis (data mining) and forecasting processes in the field of ecology and environment protection
by: R. M. Trokhymchuk
Published: (2016)
by: R. M. Trokhymchuk
Published: (2016)
Features of software of acoustic-emission diagnostic means (Review. Information 1)
by: V. R. Skalskyi, et al.
Published: (2010)
by: V. R. Skalskyi, et al.
Published: (2010)
Features of software for acoustic-emission diagnostic means (Review. Information 2)
by: V. R. Skalskyi, et al.
Published: (2010)
by: V. R. Skalskyi, et al.
Published: (2010)
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)
Intellectual property and artificial intelligence: who is the author?
by: H. O. Androshchuk
Published: (2022)
by: H. O. Androshchuk
Published: (2022)
Analysis of national artificial intelligence development strategies
by: O. V. Kostenko
Published: (2022)
by: O. V. Kostenko
Published: (2022)
Similar Items
-
Artificial Intelligence Systems in Adaptive Learning
by: V. Demianenko
Published: (2019) -
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013) -
Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
by: T. A. Samoljuk
Published: (2017) -
Neural Distributed Representations for Artificial Intelligence and Modeling of Thinkingl
by: D. A. Rachkovskij, et al.
Published: (2022) -
Usage of artificial neural networks in the energy sector
by: Lazarenko, D.V.
Published: (2016)