Buchumschlag

Brain and Artificial Neural Networks

Gespeichert in:

Bibliographische Detailangaben
Datum:	2013
1. Verfasser:	V. V. Storozh
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2013
Schriftenreihe:	Artificial intelligence
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000357625
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

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

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

Artificial neural networks using for solving of the tribological problems
von: V. M. Uvarov, et al.
Veröffentlicht: (2019)

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

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

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

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

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

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

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

Peculiarities of development of the artificial neural network used in the hybrid expert system
von: S. N. Konovalov, et al.
Veröffentlicht: (2018)

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

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

Brain neural circuits involved in mammalian navigation
von: M. S. Shypshyna, et al.
Veröffentlicht: (2015)

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

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

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

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

DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR INFORMATION AND MEASUREMENT SYSTEM FOR CONTROLLING THE GEOMETRIC DIMENSIONS OF POWER EQUIPMENT
von: Kacprzyk, Janusz, et al.
Veröffentlicht: (2025)

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

Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
von: O. M. Stankevych, et al.
Veröffentlicht: (2024)

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

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

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

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

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

Principles of Realization of Semantics in Natural and Artificial Systems
von: V. V. Storozh
Veröffentlicht: (2014)

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

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

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

Increasing the accuracy of short-term forecasts of PVSPP generation based on artificial neural networks and taking additional factors into account
von: V. O. Miroshnyk, et al.
Veröffentlicht: (2024)

Application of the volume learning algorithm artificial neural networks for recognition of the type of interaction between neurons from their cross-correlation histograms
von: Kovalishyn, V.V., et al.
Veröffentlicht: (2005)

Influence of brain and liver tissue extracts on hypothermic storage of newborn rat neural cells
von: M. V. Shevchenko
Veröffentlicht: (2013)

Bioelectrical activity of brain and muscles of rats during quitting from artificial hypometabolic state
von: A. V. Shilo, et al.
Veröffentlicht: (2008)

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

Neural networks’ learning process acceleration
von: Katerynych, L., et al.
Veröffentlicht: (2020)

Neural networks’ learning process acceleration
von: Katerynych, L., et al.
Veröffentlicht: (2020)

Formal verification of deep neural networks
von: Panchuk, B.O.
Veröffentlicht: (2024)

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

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