{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-3970/PAPER17.html","spt.description":null,"spt.id":"Vol-3970/PAPER17","spt.wikidataid":null,"spt.title":"An intelligent system for forecasting time series based on a neural network with\n            LSTM-blocks\n          ","spt.pdfUrl":"https://ceur-ws.org/Vol-3970/PAPER17.pdf","spt.volume":{"number":3970,"acronym":"SMARTINDUSTRY 2025","wikidataid":null,"title":"Proceedings of the 2nd International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2025)","description":null,"url":null,"date":"2025-05-31","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-3970/PAPER17","cvb.title":"An intelligent system for forecasting time series based on a neural network with\n            LSTM-blocks\n          ","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Vasyl Lytvyn,Ivan Peleshchak,Yurii Futryk,Roman Peleshchak,Andriy Khudyy,Andriy Senyk","cvb.vol_number":"3970","cvb.pdf_name":"PAPER17.pdf","cvb.pages":"213-226","cvb.fail":null}