{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:14:57Z","timestamp":1783120497481,"version":"3.54.6"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100014440","name":"Ministerio de Ciencia Innovacin y Universidades","doi-asserted-by":"publisher","award":["RTI2018-098958-B-I00"],"award-info":[{"award-number":["RTI2018-098958-B-I00"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3127689","type":"journal-article","created":{"date-parts":[[2021,11,11]],"date-time":"2021-11-11T20:28:43Z","timestamp":1636662523000},"page":"153153-153170","source":"Crossref","is-referenced-by-count":68,"title":["Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3550-560X","authenticated-orcid":false,"given":"Manuel","family":"Lopez-Martin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3620-1106","authenticated-orcid":false,"given":"Antonio","family":"Sanchez-Esguevillas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7486-6152","authenticated-orcid":false,"given":"Juan Ignacio","family":"Arribas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7051-8479","authenticated-orcid":false,"given":"Belen","family":"Carro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref33","first-page":"2985","article-title":"Application of actor-critic learning to adaptive state space construction","volume":"5","author":"cheng","year":"2004","journal-title":"Proc Int Conf Mach Learn Cybern"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2009.5212431"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/11427391_102"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5120\/cae-1581"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.05.013"},{"key":"ref36","article-title":"Deep reinforcement learning for cyber security","author":"thi nguyen","year":"2019","journal-title":"arXiv 1906 05799"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348167"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1007\/978-3-540-87536-9_74","article-title":"Comparison of RBF network learning and reinforcement learning on the maze exploration problem","author":"slu\u0161n\u00fd","year":"2008","journal-title":"Artificial Neural Networks&#x2014;ICANN 2008"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/APBITM.2011.5996285"},{"key":"ref29","article-title":"Deep radial-basis value functions for continuous control","author":"asadi","year":"2020","journal-title":"arXiv 2002 01883"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02014-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105124"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1142\/S1469026819500019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpc.2009.05.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105648"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/UBMYK48245.2019.8965627"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2010.5580770"},{"key":"ref26","first-page":"21","article-title":"Reinforcement learning method based on radial basis function neural network","author":"du","year":"2016","journal-title":"Design Manufacturing and Mechatronics"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/5.58326"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1186\/s13174-018-0087-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.01.023"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3098157"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01605-0"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.21528\/CBIC2013-319"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref54","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.01.063"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC48513.2020.9064976"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SDS.2019.8768575"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2402161"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2008.4525415"},{"key":"ref12","first-page":"17","article-title":"A survey on RBF neural network for intrusion detection system","volume":"4","author":"sheth","year":"2014","journal-title":"Int J Eng Res Appl"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICET.2009.5353204"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IEEC.2009.80"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI49370.2019.00024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CIS.2012.128"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.08.092"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD.2005.194301"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IITA.2009.154"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102630"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102767"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(01)00027-2"},{"key":"ref5","first-page":"321","article-title":"Multivariable functional interpolation and adaptive networks","volume":"2","author":"broomhead","year":"1988","journal-title":"Complex Syst"},{"key":"ref8","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112963"},{"key":"ref49","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv 1312 5602"},{"key":"ref9","article-title":"Offline reinforcement learning: Tutorial, review, and perspectives on open problems","author":"levine","year":"2020","journal-title":"arXiv 2005 01643"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1031953"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref47","article-title":"Deep reinforcement learning with double Q-learning","author":"van hasselt","year":"2015","journal-title":"arXiv 1509 06461 [cs]"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2019.8888419"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5220\/0006639801080116"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.1994.399913"},{"key":"ref43","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09612220.pdf?arnumber=9612220","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:04:40Z","timestamp":1641848680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9612220\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3127689","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}