Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Stanka Hadzhikoleva"'
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3285 (2024)
The present article explores the possibilities of using artificial neural networks to solve problems related to reconstructing complex geometric surfaces in Euclidean and pseudo-Euclidean spaces, examining various approaches and techniques for traini
Externí odkaz:
https://doaj.org/article/fede25390bb142b9810d9bf006907a53
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9125 (2024)
The article presents work on developing a software application for test creation using artificial intelligence and large language models. Its main goal is to optimize the educators’ work by automating the process of test generation and evaluation,
Externí odkaz:
https://doaj.org/article/8ec322e9e3bf4c1594c75b9a86011a69
Publikováno v:
Axioms, Vol 12, Iss 8, p 759 (2023)
The goal of the present study is to find a method for improving the predictive capabilities of feedforward neural networks in cases where values distant from the input–output sample interval are predicted. This paper proposes an iterative predictio
Externí odkaz:
https://doaj.org/article/598e0c74329b4a0d931005437d86dea9
Autor:
Zhelyazko Terziyski, Margarita Terziyska, Ivelina Deseva, Stanka Hadzhikoleva, Albert Krastanov, Dasha Mihaylova, Emil Hadzhikolev
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 961 (2023)
Research on food-derived bioactive peptides is expanding and the need for a convenient online platform that combines a foolproof and intuitive user interface with a reliable database and tools for prediction and analysis is rising. In this regard, th
Externí odkaz:
https://doaj.org/article/c6965ebf5e5047e7865b90936cee7108
Publikováno v:
Mathematics, Vol 11, Iss 1, p 217 (2023)
A large number of researchers spend a lot of time searching for the most efficient neural network to solve a given problem. The procedure of configuration, training, testing, and comparison for expected performance is applied to each experimental neu
Externí odkaz:
https://doaj.org/article/2e95a7befb054146ac81f4b6031622a7
Publikováno v:
Sustainability; Volume 14; Issue 17; Pages: 11074
Making forecasts for the development of a given process over time, which depends on many factors, is in some cases a difficult task. The choice of appropriate methods—mathematical, statistical, or artificial intelligence methods—is also not obvio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc2a8ad78d9e46b9bd9b7adfb3f79d7
Publikováno v:
International Journal of Engineering Trends and Technology. 69:93-98
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16fd68c60ad7d9aca1c64fc9b3c80fd5
https://doi.org/10.14445/22315381/ijett-v69i6p213
https://doi.org/10.14445/22315381/ijett-v69i6p213
Autor:
Margarita Terziyska, Kostadin Yotov, Emil Hadzhikolev, Zhelyazko Terziyski, Stanka Hadzhikoleva
Publikováno v:
2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc57ae05bffebfe9b163ff60ca96fa1d
https://doi.org/10.1109/siela54794.2022.9845722
https://doi.org/10.1109/siela54794.2022.9845722
Publikováno v:
2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c40ff127c48a6e4e6a18f1a77d7716
https://doi.org/10.1109/siela54794.2022.9845743
https://doi.org/10.1109/siela54794.2022.9845743
Publikováno v:
TEM Journal, Vol 9, Iss 4, Pp 1320-1329 (2020)
How can we determine the optimal number of neurons when constructing an artificial neural network? This is one of the most frequently asked questions when working with this type of artificial intelligence. Experience has brought the understanding tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c90e9dd088442f0dfe95a57e1ae5dd91
https://doi.org/10.18421/tem94-02
https://doi.org/10.18421/tem94-02