Optimization of autotuning of programs using neural networks
Saved in:
| Date: | 2017 |
|---|---|
| Main Authors: | Yu. Doroshenko, P. A. Ivanenko, O. C. Novak |
| Format: | Article |
| Language: | English |
| Published: |
2017
|
| Series: | Problems in programming |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000724014 |
| 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
Optimization of auto-tuning of programs using neural networks
by: Doroshenko, А.Yu., et al.
Published: (2018)
by: Doroshenko, А.Yu., et al.
Published: (2018)
Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
by: Yu. Doroshenko, et al.
Published: (2018)
by: Yu. Doroshenko, et al.
Published: (2018)
Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
by: Doroshenko, А.Yu., et al.
Published: (2018)
by: Doroshenko, А.Yu., et al.
Published: (2018)
Hybrid autotuning model with statistic modelling
by: Yu. Doroshenko, et al.
Published: (2016)
by: Yu. Doroshenko, et al.
Published: (2016)
Hybrid autotuning model with statistic modelling
by: Doroshenko, А.Yu., et al.
Published: (2018)
by: Doroshenko, А.Yu., et al.
Published: (2018)
Autotuner and visualization for meteorological forecasting model
by: Ivanenko, P.A., et al.
Published: (2025)
by: Ivanenko, P.A., et al.
Published: (2025)
Validation of correctness of autotuning code transformations with rewriting rules technique
by: P. A. Ivanenko
Published: (2020)
by: P. A. Ivanenko
Published: (2020)
Validation of correctness of autotuning code transformations with rewriting rules technique
by: Ivanenko, P.A.
Published: (2020)
by: Ivanenko, P.A.
Published: (2020)
Recurrent neural network model for music generation
by: Komarskiy, O.C., et al.
Published: (2022)
by: Komarskiy, O.C., et al.
Published: (2022)
Synthesis of optimal structure of deep neural network
by: Yu. Koval, et al.
Published: (2016)
by: Yu. Koval, et al.
Published: (2016)
Neural network synthesis based on evolutionary optimization
by: A. A. Oliinyk, et al.
Published: (2015)
by: A. A. Oliinyk, et al.
Published: (2015)
Neural network synthesis based on evolutionary optimization
by: Oliinyk, A.A., et al.
Published: (2015)
by: Oliinyk, A.A., et al.
Published: (2015)
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)
Neural network application to pseudorandom sequence generation simulation
by: Lesyk, V.O., et al.
Published: (2024)
by: Lesyk, V.O., et al.
Published: (2024)
Using convolutional neural networks for breast cancer diagnosing
by: M. Naderan, et al.
Published: (2019)
by: M. Naderan, et al.
Published: (2019)
Optimizing the capital structure of the company to maximize its profits by using neural networks on the example of building companies
by: P. Suler
Published: (2016)
by: P. Suler
Published: (2016)
Optimizing the capital structure of the company to maximize its profits by using neural networks on the example of building companies
by: Suler, P.
Published: (2016)
by: Suler, P.
Published: (2016)
Image compression module based neural network autoencoders
by: Lesyk, V.O., et al.
Published: (2023)
by: Lesyk, V.O., et al.
Published: (2023)
Modelling videocard memory performance for LLM neural networks
by: Rahozin, D.V., et al.
Published: (2024)
by: Rahozin, D.V., et al.
Published: (2024)
Software model of genetic optimizer for regular neural networks in LabVIEW
by: Zherebko, V.A.
Published: (2025)
by: Zherebko, V.A.
Published: (2025)
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)
Recurrent neural networks for the problem of improving numerical meteorological forecasts
by: Doroshenko, А.Yu., et al.
Published: (2023)
by: Doroshenko, А.Yu., et al.
Published: (2023)
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)
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)
Software package for adaptive training of robot controllers based on neural networks
by: Vitiuk, A.Y., et al.
Published: (2023)
by: Vitiuk, A.Y., et al.
Published: (2023)
Construction of diagnostic expert-medical system using neural networks
by: M. M. Hlybovets, et al.
Published: (2020)
by: M. M. Hlybovets, et al.
Published: (2020)
Construction of diagnostic expert-medical system using neural networks
by: Glybovets, M.M., et al.
Published: (2020)
by: Glybovets, M.M., et al.
Published: (2020)
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)
Programming gestures simulator with statistical modeling
by: Doroshenko, А.Yu., et al.
Published: (2017)
by: Doroshenko, А.Yu., et al.
Published: (2017)
Information technology for the early diagnosys of pneumonia using convolutional neural networks
by: P. M. Radjuk, et al.
Published: (2021)
by: P. M. Radjuk, et al.
Published: (2021)
Automatic development of deep neural networks for improving numerical meteorological forecast
by: Doroshenko, А.Yu., et al.
Published: (2024)
by: Doroshenko, А.Yu., et al.
Published: (2024)
Using Artificial Neural Networks to Simulate the Financial Stability of Enterprise
by: L. N. Debunov
Published: (2017)
by: L. N. Debunov
Published: (2017)
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024)
by: Конюхов, В. Д.
Published: (2024)
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024)
by: Конюхов, В. Д.
Published: (2024)
Use of neural network technologies to recover failed detector signal
by: V. I. Borysenko, et al.
Published: (2018)
by: V. I. Borysenko, et al.
Published: (2018)
Using the Artificial Neural Networks for Forecasting the Risk of Bankruptcy of Banks
by: Ye. Markov
Published: (2018)
by: Ye. Markov
Published: (2018)
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)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
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)
Similar Items
-
Optimization of auto-tuning of programs using neural networks
by: Doroshenko, А.Yu., et al.
Published: (2018) -
Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
by: Yu. Doroshenko, et al.
Published: (2018) -
Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
by: Doroshenko, А.Yu., et al.
Published: (2018) -
Hybrid autotuning model with statistic modelling
by: Yu. Doroshenko, et al.
Published: (2016) -
Hybrid autotuning model with statistic modelling
by: Doroshenko, А.Yu., et al.
Published: (2018)