Realization of neural network algorithms for classification of technical state of composite materials by acoustic testing results
Saved in:
| Date: | 2017 |
|---|---|
| Main Authors: | R. M. Galagan, A. S. Momot |
| Format: | Article |
| Language: | English |
| Published: |
2017
|
| Series: | Technical diagnostics and non-destructive testing |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000741510 |
| 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
Acoustic emission at composite material testing
by: S. A. Nedoseka, et al.
Published: (2018)
by: S. A. Nedoseka, et al.
Published: (2018)
Fuzzy Neural Network for Determine Whether the Results of the Critical Software Testing to Requirements
by: Yu. Titova
Published: (2013)
by: Yu. Titova
Published: (2013)
Application of neural networks modeling for interpretation of acoustic logging traces
by: Lazarenko, M., et al.
Published: (2015)
by: Lazarenko, M., et al.
Published: (2015)
Application of neural networks modeling for interpretation of acoustic logging traces
by: M. A. Lazarenko, et al.
Published: (2015)
by: M. A. Lazarenko, et al.
Published: (2015)
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)
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 in the classification of medical images textures
by: Dzierżak, R., et al.
Published: (2018)
by: Dzierżak, R., et al.
Published: (2018)
Automated defect detection in printed circuit boards based on the YOLOV5 neural network
by: A. S. Momot, et al.
Published: (2024)
by: A. S. Momot, et al.
Published: (2024)
Convolutional neural network model and software for classification of typical pests
by: Bezliudnyi, Y.S., et al.
Published: (2022)
by: Bezliudnyi, Y.S., et al.
Published: (2022)
Architectural and mathematical fundamentals of improvement neural networks for classification of images
by: V. I. Sliusar
Published: (2022)
by: V. I. Sliusar
Published: (2022)
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)
Scalability of Parallel Batch Pattern Neural Network Training Algorithm
by: Turchenko, V.
Published: (2009)
by: Turchenko, V.
Published: (2009)
Results of testing two implementations of r-algorithm
by: A. P. Likhovid, et al.
Published: (2018)
by: A. P. Likhovid, et al.
Published: (2018)
System for NDT of composite materials based on neural networks ART-2 and FUZZY-ART
by: V. S. Eremenko, et al.
Published: (2013)
by: V. S. Eremenko, et al.
Published: (2013)
A classification of text as images using neural networks pre-trained on the imagenet
by: V. Slyusar
Published: (2023)
by: V. Slyusar
Published: (2023)
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)
The Classification Method of Vocal Speech Sounds on the Basis of Soundlet Bayesian Neural Network
by: E. E. Fedorov
Published: (2015)
by: E. E. Fedorov
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)
Features of application of acoustic emission method at destructive testing of materials
by: Ja. Nedoseka, et al.
Published: (2014)
by: Ja. Nedoseka, et al.
Published: (2014)
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)
Acoustic emission source positioning research of 3D braided composite material based on the wavelet network
by: Su Hua, et al.
Published: (2016)
by: Su Hua, et al.
Published: (2016)
DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS
by: Bondarenko, V. E., et al.
Published: (2017)
by: Bondarenko, V. E., et al.
Published: (2017)
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)
Clustering with Kohonen Neural Network and Modified Hierarchical Algorithm Chameleon in Various Subject Areas
by: Ляховець, А. В.
Published: (2013)
by: Ляховець, А. В.
Published: (2013)
Application of acoustic emission in the study of drilling composite materials
by: L. N. Devin, et al.
Published: (2016)
by: L. N. Devin, et al.
Published: (2016)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images
by: F. Aqel, et al.
Published: (2022)
by: F. Aqel, et al.
Published: (2022)
Non-destructive testing of composite material quality
by: V. A. Troitskij, et al.
Published: (2014)
by: V. A. Troitskij, et al.
Published: (2014)
Results of testing, research and analysis of the basic clustering algorithms of numerical data sets
by: R. M. Trokhymchuk
Published: (2019)
by: R. M. Trokhymchuk
Published: (2019)
Formal verification of deep neural networks
by: Panchuk, B.O.
Published: (2024)
by: Panchuk, B.O.
Published: (2024)
Application of neural networks in OLAP-systems
by: Nabibayeva, G.Ch.
Published: (2024)
by: Nabibayeva, G.Ch.
Published: (2024)
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 and statistical techniques for remote sensing image classification
by: Grypych, Iu., et al.
Published: (2010)
by: Grypych, Iu., et al.
Published: (2010)
A new algorithm classification
by: G. A. Kravtsov, et al.
Published: (2016)
by: G. A. Kravtsov, et al.
Published: (2016)
Evolutionary algorithm of the optimal classification
by: I. V. Kozin
Published: (2015)
by: I. V. Kozin
Published: (2015)
Automation of the process of segmentation of images of metal surface defects using the neural network U-Net
by: Y.V. Steshenko, et al.
Published: (2023)
by: Y.V. Steshenko, et al.
Published: (2023)
Operational monitoring of acoustic sensor networks
by: V. A. Boltenkov, et al.
Published: (2015)
by: V. A. Boltenkov, et al.
Published: (2015)
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)
Similar Items
-
Acoustic emission at composite material testing
by: S. A. Nedoseka, et al.
Published: (2018) -
Fuzzy Neural Network for Determine Whether the Results of the Critical Software Testing to Requirements
by: Yu. Titova
Published: (2013) -
Application of neural networks modeling for interpretation of acoustic logging traces
by: Lazarenko, M., et al.
Published: (2015) -
Application of neural networks modeling for interpretation of acoustic logging traces
by: M. A. Lazarenko, et al.
Published: (2015) -
Application of neural networks in the classification of medical images textures
by: R. Dzierїak, et al.
Published: (2018)