{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T11:11:09Z","timestamp":1742641869788,"version":"3.37.3"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T00:00:00Z","timestamp":1585094400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T00:00:00Z","timestamp":1585094400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573132"],"award-info":[{"award-number":["61573132"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s00034-020-01393-y","type":"journal-article","created":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T18:02:42Z","timestamp":1585159362000},"page":"4890-4902","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Application of Improved BP Neural Network in Information Fusion Kalman Filter"],"prefix":"10.1007","volume":"39","author":[{"given":"Yu-Hang","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,25]]},"reference":[{"issue":"1","key":"1393_CR1","first-page":"45","volume":"23","author":"L Chai","year":"2005","unstructured":"L. Chai, J.P. Yuan, Q. Fang, L.W. Huang, Neural-network-aided information fusion for integrated navigation application. J. Northwest. Polytech. Univ. 23(1), 45\u201348 (2005)","journal-title":"J. Northwest. Polytech. Univ."},{"key":"1393_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2909748","author":"J Cheng","year":"2019","unstructured":"J. Cheng, J.H. Park, J.D. Cao, W.H. Qi, Hidden Markov model-based nonfragile state estimation of switched neural network with probabilistic quantized outputs. IEEE Trans. Cybern. (2019). https:\/\/doi.org\/10.1109\/TCYB.2019.2909748","journal-title":"IEEE Trans. Cybern."},{"key":"1393_CR3","unstructured":"P. Gao, Research on the improved neural network algorithm in nonlinear system identification. M.Sc. Dissertation (Heilongjiang University, China, 2018)"},{"issue":"6","key":"1393_CR4","first-page":"715","volume":"16","author":"ZL Jing","year":"1995","unstructured":"Z.L. Jing, H. Xu, G.Z. Dai, X.Q. Zhou, Neural network-based information fusion and parallel adaptive tracking of maneuvering targets. Acta Aeronaut. Astron. Sin. 16(6), 715\u2013719 (1995)","journal-title":"Acta Aeronaut. Astron. Sin."},{"issue":"4","key":"1393_CR5","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1080\/00031305.2016.1141709","volume":"70","author":"M Katzfussa","year":"2016","unstructured":"M. Katzfussa, J.R. Stroudb, C.K. Wiklec, Understanding the ensemble Kalman filter. Am. Stat. 70(4), 350\u2013357 (2016)","journal-title":"Am. Stat."},{"issue":"5","key":"1393_CR6","first-page":"970","volume":"24","author":"MT Liu","year":"2016","unstructured":"M.T. Liu, Z.Z. Tian, H.Q. Qi, C.C. Zhang, X.M. Liu, Cooperative fusion model based on Kalman-BP neural network for suspended sediment concentration measurement. J. Basic Sci. Eng. 24(5), 970\u2013977 (2016)","journal-title":"J. Basic Sci. Eng."},{"issue":"23","key":"1393_CR7","first-page":"6494","volume":"20","author":"FJ Pei","year":"2008","unstructured":"F.J. Pei, H.H. Ju, P.Y. Cui, Initial alignment method based on Kalman\/UKF integrated training neural network. J. Syst. Simul. 20(23), 6494\u20136497 (2008)","journal-title":"J. Syst. Simul."},{"key":"1393_CR8","first-page":"1","volume":"2","author":"LJ Song","year":"2018","unstructured":"L.J. Song, Z.X. Duan, B. He, Z. Li, Application of federal Kalman filter with neural networks in the velocity and attitude matching of transfer alignment. Complexity 2, 1\u20137 (2018)","journal-title":"Complexity"},{"key":"1393_CR9","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.automatica.2004.01.014","volume":"40","author":"SL Sun","year":"2004","unstructured":"S.L. Sun, Z.L. Deng, Multi-sensor optimal information fusion Kalman filter. Automatica 40, 1017\u20131023 (2004)","journal-title":"Automatica"},{"key":"1393_CR10","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1016\/j.apenergy.2014.12.021","volume":"162","author":"FC Sun","year":"2016","unstructured":"F.C. Sun, R. Xiong, H.W. He, A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique. Appl. Energy 162, 1399\u20131409 (2016)","journal-title":"Appl. Energy"},{"issue":"3","key":"1393_CR11","first-page":"49","volume":"36","author":"Q Sun","year":"2011","unstructured":"Q. Sun, X.B. Hui, H. Huang, An adaptive Kalman tracking filter with colored noises. Fire Control Command Control 36(3), 49\u201351 (2011)","journal-title":"Fire Control Command Control"},{"key":"1393_CR12","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1016\/j.apenergy.2016.12.134","volume":"190","author":"DY Wang","year":"2017","unstructured":"D.Y. Wang, H.Y. Luo, O. Grunder, Y.B. Lin, H.X. Guo, Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm. Appl. Energy 190, 390\u2013407 (2017)","journal-title":"Appl. Energy"},{"key":"1393_CR13","doi-asserted-by":"publisher","first-page":"82134","DOI":"10.1109\/ACCESS.2019.2922212","volume":"7","author":"GC Wang","year":"2019","unstructured":"G.C. Wang, X.S. Xu, Y.Q. Yao, J.W. Tong, A novel BPNN-based method to overcome the GPS outages for INS\/GPS system. IEEE Access 7, 82134\u201382143 (2019)","journal-title":"IEEE Access"},{"issue":"4","key":"1393_CR14","first-page":"9083","volume":"17","author":"F Zhang","year":"2019","unstructured":"F. Zhang, H.F. Xue, Y.H. Zhang, A new BP neural network fusion algorithm for multi-source remote sensing data on groundwater. Appl. Ecol. Environ. Res. 17(4), 9083\u20139095 (2019)","journal-title":"Appl. Ecol. Environ. Res."},{"key":"1393_CR15","unstructured":"W.X. Zhang, BP neural network forecasting model based on PSO. M.Sc. dissertation (Harbin Institute of Technology, China, 2010)"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-020-01393-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00034-020-01393-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-020-01393-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T00:36:29Z","timestamp":1616632589000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00034-020-01393-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,25]]},"references-count":15,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["1393"],"URL":"https:\/\/doi.org\/10.1007\/s00034-020-01393-y","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2020,3,25]]},"assertion":[{"value":"12 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 March 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}