{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T17:26:27Z","timestamp":1781630787386,"version":"3.54.5"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51709219"],"award-info":[{"award-number":["51709219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFC1407400"],"award-info":[{"award-number":["2018YFC1407400"]}]},{"DOI":"10.13039\/501100018806","name":"Science and Technology Department of Hubei Province","doi-asserted-by":"crossref","award":["2019AHB053"],"award-info":[{"award-number":["2019AHB053"]}],"id":[{"id":"10.13039\/501100018806","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003482","name":"Department of Education of Hebei Province","doi-asserted-by":"publisher","award":["2017504"],"award-info":[{"award-number":["2017504"]}],"id":[{"id":"10.13039\/501100003482","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201906950086"],"award-info":[{"award-number":["201906950086"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007724","name":"Qingdao Research Institute of Wuhan University of Technology","doi-asserted-by":"publisher","award":["2019A02"],"award-info":[{"award-number":["2019A02"]}],"id":[{"id":"10.13039\/501100007724","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3030614","type":"journal-article","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T19:37:21Z","timestamp":1602617841000},"page":"187441-187454","source":"Crossref","is-referenced-by-count":30,"title":["Fitting Analysis of Inland Ship Fuel Consumption Considering Navigation Status and Environmental Factors"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8323-3955","authenticated-orcid":false,"given":"Zhi","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingxian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6848-3147","authenticated-orcid":false,"given":"Yi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0651-469X","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6500-7460","authenticated-orcid":false,"given":"Zongzhi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","author":"tong","year":"2020","journal-title":"IEICE Trans Inf Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/HRI.2019.8673170"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2883393"},{"key":"ref32","article-title":"General regression neural networks, radial basis function neural networks, support vector machines, and feedforward neural networks","author":"jenkins","year":"2019","journal-title":"arXiv 1911 07115"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2018.06.033"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICTS.2016.7910298"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2967051"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1049\/joe.2018.8669"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2017.10.020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986278"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.20967\/jcscm.2018.02.002"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2019.2962806"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en11051059"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.egypro.2018.09.226","article-title":"Ship energy consumption prediction with Gaussian process metamodel","volume":"152","author":"yuan","year":"2018","journal-title":"Energy Procedia"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-019-03183-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2019.106282"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933630"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2018.11.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2896532"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962210"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3233\/ISP-1982-2933501"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2018.8407152"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852811"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944422"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2017.2766443"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2019.2906587"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2758790"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.02.080"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2016.11.058"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.cor.2015.04.004","article-title":"An artificial neural network based decision support system for energy efficient ship operations","volume":"66","author":"be\u00e1k\u00e7i","year":"2016","journal-title":"Comput Oper Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2518920"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2017.09.014"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2019.04.001"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"2364","DOI":"10.1109\/TASLP.2020.3012060","article-title":"Improving sequence modeling ability of recurrent neural networks via sememe","volume":"28","author":"qin","year":"2020","journal-title":"IEEE Transactions on Audio Speech and Language Processing"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICAETR.2014.7012785"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916757"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/IConAC.2019.8895072"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2018.00-35"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00102"},{"key":"ref24","first-page":"4554","article-title":"A novel approach for vessel trajectory reconstruction using AIS data","author":"yuan","year":"2019","journal-title":"Proc Int Ocean Polar Eng Conf"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2020EDL8032"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HNICEM48295.2019.9072728"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2770179"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICITE.2019.8880242"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2953350"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2916299"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09222165.pdf?arnumber=9222165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:31Z","timestamp":1639770991000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9222165\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3030614","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}