Cover Image

Artificial neural networks using for solving of the tribological problems

Saved in:

Bibliographic Details
Date:	2019
Main Authors:	V. M. Uvarov, S. A. Bespalov
Format:	Article
Language:	English
Published:	2019
Series:	Metal Science and Treatment of Metals
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001055102
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 | LibNAS

Similar Items

An Artificial Neural Networks Modeling Environment for Solving a Clustering Task
by: Yu. V. Moskalenko
Published: (2019)

Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)

Artificial neural networks: future of use in law enforcement
by: M. I. Maietnyi
Published: (2021)

Using the Artificial Neural Networks for Forecasting the Risk of Bankruptcy of Banks
by: Ye. Markov
Published: (2018)

Using Artificial Neural Networks to Simulate the Financial Stability of Enterprise
by: L. N. Debunov
Published: (2017)

Peculiarities of development of the artificial neural network used in the hybrid expert system
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)

Usage of artificial neural networks in the energy sector
by: Lazarenko, D.V.
Published: (2016)

Usage of artificial neural networks in the energy sector
by: D. V. Lazarenko
Published: (2016)

Artificial Neural Networks for Modeling of Crisis Management of National Economy
by: Ya. Savka
Published: (2020)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
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)

Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks
by: Mimouni, A., et al.
Published: (2023)

Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
by: O. Zozulya, et al.
Published: (2022)

Analysis of Artificial Neural Networks Training Models for Airfare Price Prediction
by: Ye. O. Kuptsova, et al.
Published: (2020)

Problems and prospects of the artificial neuron networks using in energy
by: Voronovskiy G.K., et al.
Published: (2006)

Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
by: T. A. Samoljuk
Published: (2017)

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER
by: Basok , B., et al.
Published: (2025)

Investigation of resonance overvoltages in 750 kV main power electrical networks with non-sinusoidal source of distortion by using the artificial neural network
by: V. V. Kuchanskyi
Published: (2018)

Optimization of autotuning of programs using neural networks
by: Yu. Doroshenko, et al.
Published: (2017)

Adaptive Quasi-Optimal Control in Pulse Convertors with Artificial Neural Network Model of Power Part
by: V. P. Vojtenko
Published: (2016)

Problems of identification of the legal regime for objects created using neural networks technology
by: M. V. Dubniak
Published: (2019)

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)

Neural Network Technologies in the Problem of Handwriting Recognition
by: A. D. Goltsev, et al.
Published: (2018)

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)

Using convolutional neural networks for breast cancer diagnosing
by: M. Naderan, et al.
Published: (2019)

Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique
by: Abid, M., et al.
Published: (2022)

Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
by: Khodnevych, Yaroslav V., et al.
Published: (2023)

Optimization of auto-tuning of programs using neural networks
by: Doroshenko, А.Yu., et al.
Published: (2018)

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)

New application of artificial neural network-based direct power control for permanent magnet synchronous generator
by: Akkouchi, K., et al.
Published: (2021)

Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient?
by: Y. Khodnevych, et al.
Published: (2023)

Construction of diagnostic expert-medical system using neural networks
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)

Prediction of the future development of construction companies by means of artificial neural networks on the basis of data from the Czech Republic
by: Vochozka, M., et al.
Published: (2015)

Prediction of the future development of construction companies by means of artificial neural networks on the basis of data from the Czech Republic
by: M. Vochozka, et al.
Published: (2015)

Problem of Sonstructing the GMDH Neural Networks with Active Neurons
by: O. H. Moroz, et al.
Published: (2022)

Neural Distributed Representations for Artificial Intelligence and Modeling of Thinkingl
by: D. A. Rachkovskij, et al.
Published: (2022)

Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood
by: Bardak, S., et al.
Published: (2016)

Neural network modeling in the problem of localization earthquake of Ukraine
by: O. O. Herasymenko, et al.
Published: (2020)