{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T11:52:58Z","timestamp":1773921178407,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,8,23]],"date-time":"2019-08-23T00:00:00Z","timestamp":1566518400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Neuro-fuzzy models have a proven record of successful application in finance. Forecasting future values is a crucial element of successful decision making in trading. In this paper, a novel ensemble neuro-fuzzy model is proposed to overcome limitations and improve the previously successfully applied a five-layer multidimensional Gaussian neuro-fuzzy model and its learning. The proposed solution allows skipping the error-prone hyperparameters selection process and shows better accuracy results in real life financial data.<\/jats:p>","DOI":"10.3390\/data4030126","type":"journal-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T05:55:45Z","timestamp":1566798945000},"page":"126","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7154-705X","authenticated-orcid":false,"given":"Alexander","family":"Vlasenko","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Faculty of Computer Science, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine"}]},{"given":"Nataliia","family":"Vlasenko","sequence":"additional","affiliation":[{"name":"Department of Informatics and Computer Engineering, Faculty of Economic Informatics, Simon Kuznets Kharkiv National University of Economics, 61166 Kharkiv, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9414-2477","authenticated-orcid":false,"given":"Olena","family":"Vynokurova","sequence":"additional","affiliation":[{"name":"Information Technology Department, IT Step University, 79019 Lviv, Ukraine"},{"name":"Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5418-2143","authenticated-orcid":false,"given":"Yevgeniy","family":"Bodyanskiy","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Faculty of Computer Science, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine"},{"name":"Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4881-6933","authenticated-orcid":false,"given":"Dmytro","family":"Peleshko","sequence":"additional","affiliation":[{"name":"Information Technology Department, IT Step University, 79019 Lviv, Ukraine"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s10462-016-9536-0","article-title":"A review on the applications of neuro-fuzzy systems in business","volume":"49","author":"Rajab","year":"2018","journal-title":"Artif. 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