{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T13:20:01Z","timestamp":1648819201049},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2015,3,1]],"date-time":"2015-03-01T00:00:00Z","timestamp":1425168000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,3,1]]},"abstract":"Abstract<\/jats:title>\n In the paper a Sugeno architecture based hardware implemented neuro adaptive inference system\u2019s training algorithm is presented. The block diagram of the neuro-adaptive inference system output computing implemented in hardware is discussed, and the implementation in reconfigurable circuit of real-time parameter tuning is presented. The proposed system functionality based on measurements achieved is demonstrated. The resulted architecture has a very high processing speed, and the parameter adaptation works in parallel with the output processing. The proposed architecture can also be used for different training algorithms\u2019 development.<\/jats:p>","DOI":"10.1515\/macro-2015-0021","type":"journal-article","created":{"date-parts":[[2018,5,3]],"date-time":"2018-05-03T12:06:34Z","timestamp":1525349194000},"page":"211-222","source":"Crossref","is-referenced-by-count":1,"title":["Embedded Adaptive Neuro Fuzzy Inference System with Hardware Implemented Real Time Parameter Update"],"prefix":"10.1515","volume":"1","author":[{"given":"S\u00e1ndor Tiham\u00e9r","family":"Brassai","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mure\u015f"}]},{"given":"Szabolcs","family":"Hajdu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mure\u015f"}]},{"given":"Tibor","family":"T\u0103mas","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mure\u015f"}]}],"member":"374","published-online":{"date-parts":[[2015,5,9]]},"container-title":["MACRo 2015"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/content.sciendo.com\/view\/journals\/macro\/1\/1\/article-p211.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/macro-2015-0021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T03:21:13Z","timestamp":1617765673000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/macro-2015-0021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,1]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2015,5,9]]},"published-print":{"date-parts":[[2015,3,1]]}},"alternative-id":["10.1515\/macro-2015-0021"],"URL":"https:\/\/doi.org\/10.1515\/macro-2015-0021","relation":{},"ISSN":["2247-0948"],"issn-type":[{"value":"2247-0948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,1]]}}}