{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T22:24:14Z","timestamp":1768343054118,"version":"3.49.0"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/tnnls.2018.2839101","type":"journal-article","created":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T18:53:49Z","timestamp":1529607229000},"page":"379-388","source":"Crossref","is-referenced-by-count":21,"title":["Optimized Neural Network Parameters Using Stochastic Fractal Technique to Compensate Kalman Filter for Power System-Tracking-State Estimation"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7216-2848","authenticated-orcid":false,"given":"Hossam","family":"Mosbah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0254-6272","authenticated-orcid":false,"given":"Mohamed E.","family":"El-Hawary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2012.2193854"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2247069"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/72.963777"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/7.250437"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.07.025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/9783527622979.ch5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022846114843"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevB.27.5686"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PSCE.2009.4840192"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAS.1970.292822"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.1109\/TNN.2010.2056383","article-title":"Exponential stability analysis for delayed neural networks with switching parameters: Average dwell time approach","volume":"21","author":"wu","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.07.041"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2003.814669"},{"key":"ref5","first-page":"2101","article-title":"Neural network-based passive filtering for delayed neutral-type semi-Markovian jump systems","volume":"28","author":"shi","year":"2017","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/7.250437"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7906(00)00013-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2012.2219861"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.03.137"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAS.1971.292844"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2017.03.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.1989.177088"},{"key":"ref24","year":"2017","journal-title":"Power systems test case archive"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.10.049"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2011.03.013"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8621620\/08392466.pdf?arnumber=8392466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:14:39Z","timestamp":1657746879000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8392466\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":25,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2018.2839101","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2]]}}}