Results 31 to 40 of about 162,584 (247)

Review and Analysis of the Development of Artificial Neural Networks

open access: yesКібернетика та комп'ютерні технології, 2023
Introduction. The creation of intelligent cyber-physical systems is impossible without knowledge of the analysis and process of development of scientific thought regarding artificial neural networks. The main task of this article is research and analysis
Oleksandr Bilokon
doaj   +1 more source

Observational Cosmology with Artificial Neural Networks

open access: yesUniverse, 2022
In cosmology, the analysis of observational evidence is very important when testing theoretical models of the Universe. Artificial neural networks are powerful and versatile computational tools for data modelling and have recently been considered in the ...
Juan de Dios Rojas Olvera   +2 more
doaj   +1 more source

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

open access: yesNature Communications, 2018
Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks. Here the authors propose a method to design neural networks as sparse scale-free networks, which leads to a reduction in ...
Decebal Constantin Mocanu   +5 more
doaj   +1 more source

THE INTELLIGENT SYSTEM FOR AUTOMOTIVE FUELS QUALITY DEFINITION

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2013
An intelligent system, based on hydrodynamic method and artificial neural networks usage for automotive fuels quality definition have been developed. Artificial neural networks optimal structures for the octane number of gasoline, cetane number, cetane ...
Volodymyr Drevetskiy , Marko Klepach
doaj   +1 more source

Advanced Artificial Neural Networks

open access: yesAlgorithms, 2018
Artificial neural networks (ANNs) have been extensively applied to a wide range of disciplines, such as system identification and control, decision making, pattern recognition, medical diagnosis, finance, data mining, visualization, and others.
Tin-Chih Toly Chen   +2 more
doaj   +1 more source

STOCK CLOSING PRICE PREDICTION OF ISX-LISTED INDUSTRIAL COMPANIES USING ARTIFICIAL NEURAL NETWORKS

open access: yesJurnal Ilmu Keuangan dan Perbankan, 2022
Making stock investment decisions is a complex challenge that investors continuously face. When it comes to an uncertain future, making the wrong decision can result in massive losses.
Salim Sallal Al-Hasnawi   +1 more
doaj   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Artificial neural networks as the data ruling components of future intelligent energy systems

open access: yesMATEC Web of Conferences, 2017
The main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy ...
Buran Anna, Denisov Maksim
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Convolutional Neural Networks Applied to the Performance of a Coffee Tree [PDF]

open access: yesE3S Web of Conferences
The use of artificial neural networks has been a significant advancement in the field of computer science, as it supports various fields of study in many traditional sciences. Over the years, numerous models of artificial neural networks have been tested,
Oscar Sánchez Tinoco   +2 more
doaj   +1 more source

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