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In this context, neonatal incubators help maintaining good health conditions because they provide a thermally-neutral environment, which is adequate to ensure the least energy expenditure by the newborn. In the last decades, artificial neural networks (ANNs) have been established as one of the main tools for the identification of nonlinear systems. Among the various approaches used in the identification process, the fuzzy wavelet neural network (FWNN) can be regarded as a prominent technique, consisting of the combination of wavelet neural network (WNN) and adaptive network-based fuzzy inference system (ANFIS). This work proposes the use of FWNN to infer the temperature and humidity values inside the incubator in order to certify the equipment operation. Results obtained with the analyzed neural system have shown the generalization and inference capacities of FWNNs, thus allowing their application to practical tasks aiming to increase the efficiency of incubators.<\/jats:p>","DOI":"10.3233\/jifs-190129","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T09:18:19Z","timestamp":1600161499000},"page":"2567-2579","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy wavelet neural networks applied as inferential sensors of neonatal incubator dynamics"],"prefix":"10.1177","volume":"39","author":[{"given":"Jos\u00e9 M.","family":"Ara\u00fajo J\u00fanior","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Federal University of Piau\u00ed (UFPI), Teresina, PI, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leandro L.S.","family":"Linhares","sequence":"additional","affiliation":[{"name":"Federal Institute of Education, Science and Technology of Para\u00edba (IFPB), Cajazeiras, PB, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F\u00e1bio M.U.","family":"Ara\u00fajo","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Otac\u00edlio M.","family":"Almeida","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Federal University of Piau\u00ed (UFPI), Teresina, PI, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,9,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2006.07.011"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnn.2011.01.004"},{"key":"e_1_3_1_4_2","unstructured":"AAMI ANSI\/AAMI\/IEC 60601-2-19. 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