Cover Image

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

Saved in:

Bibliographic Details
Date:	2018
Main Authors:	S. N. Konovalov, A. A. Egoshina
Format:	Article
Language:	English
Published:	2018
Series:	Artificial intelligence
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0000999786
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

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)

Artificial neural networks using for solving of the tribological problems
by: V. M. Uvarov, et al.
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 Artificial Neural Networks to Simulate the Financial Stability of Enterprise
by: L. N. Debunov
Published: (2017)

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

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

The use of Artificial Neural Networks for Process Control Hardware and Processing Complex
by: Ju. Zarubin, et al.
Published: (2013)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
by: Bengharbi, A. A., et al.
Published: (2022)

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

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

Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
by: Parimalasundar, E., et al.
Published: (2023)

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

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)

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

Hybrid neural networks for noise reductions of integrated navigation complexes
by: V. Sineglazov
Published: (2022)

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)

The selektion of reality model for the observed system using a neural network
by: N. I. Obodan, et al.
Published: (2015)

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)

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)

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)

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)

Application of neural networks in OLAP-systems
by: Nabibayeva, G.Ch.
Published: (2024)

Intelligent recognition and integration of graphical elements into virtual surrounding within augmented reality using hybrid convolutional neural networks
by: V. Sineglazov, et al.
Published: (2023)

Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images
by: F. Aqel, et al.
Published: (2022)

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

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

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

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

Application of neural network technologies in NDT systems
by: V. S. Yeremenko, et al.
Published: (2012)

Features of building recommendation systems based on neural network technology using multithreading
by: Komleva, N.O., et al.
Published: (2023)

Features of building recommendation systems based on neural network technology using multithreading
by: Komleva, N.O., et al.
Published: (2022)

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

Neural Network System for Transient Ischemic Attacks Diagnostics
by: V. A. Golovko, et al.
Published: (2014)