{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T06:11:17Z","timestamp":1760076677777,"version":"build-2065373602"},"reference-count":6,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,17]]},"DOI":"10.1109\/acit65614.2025.11185601","type":"proceedings-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:50:58Z","timestamp":1760032258000},"page":"196-199","source":"Crossref","is-referenced-by-count":0,"title":["Optimizer Based on Sequential Splitting Algorithm I for Training a Multilayer Neural Network"],"prefix":"10.1109","author":[{"given":"Serhiy","family":"Sveleba","sequence":"first","affiliation":[{"name":"Ivan Franko National University of Lviv,Department of Optoelectronics and Information Technologies,Lviv,Ukraine"}]},{"given":"Ivan","family":"Katerynchuk","sequence":"additional","affiliation":[{"name":"Ivan Franko National University of Lviv,Department of Optoelectronics and Information Technologies,Lviv,Ukraine"}]},{"given":"Ivan","family":"Kunyo","sequence":"additional","affiliation":[{"name":"Ivan Franko National University of Lviv,Department of Optoelectronics and Information Technologies,Lviv,Ukraine"}]},{"given":"Volodymyr","family":"Brygilevych","sequence":"additional","affiliation":[{"name":"The State Higher School of Technology and Economics in Jarostaw,Jaros&#x0142;aw,Poland"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2121","article-title":"Adaptive Subgradient Methods for Online Learning and Stochastic Optimization","author":"Duchi","year":"2011","journal-title":"Journal of Machine Learning Research"},{"article-title":"An overview of gradient descent optimization algorithms","year":"2016","author":"Ruder","key":"ref2"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"Kingma","key":"ref3"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2020.03.018","article-title":"New optimization algorithms for neural network training using operator splitting techniques","author":"Alecsa","year":"2020"},{"key":"ref5","first-page":"421","article-title":"Stochastic gradient descent tricks, Neural networks: Tricks of the trade","author":"Bottou","year":"2012"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.31110\/COLINS\/2024-1\/017","article-title":"Multilayer Neural Network Training Error when AMSGrad, Adam, AdamMax Methods Used","volume-title":"COLINS-2024: 8th International Conference on Computational Linguistics and Intelligent Systems","author":"Melnyk"}],"event":{"name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","start":{"date-parts":[[2025,9,17]]},"location":"Sibenik, Croatia","end":{"date-parts":[[2025,9,19]]}},"container-title":["2025 15th International Conference on Advanced Computer Information Technologies (ACIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11185059\/11185456\/11185601.pdf?arnumber=11185601","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T05:28:16Z","timestamp":1760074096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11185601\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,17]]},"references-count":6,"URL":"https:\/\/doi.org\/10.1109\/acit65614.2025.11185601","relation":{},"subject":[],"published":{"date-parts":[[2025,9,17]]}}}