{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:45:40Z","timestamp":1744159540878,"version":"3.38.0"},"reference-count":31,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2011,2,1]],"date-time":"2011-02-01T00:00:00Z","timestamp":1296518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2011,2]]},"DOI":"10.1016\/j.neucom.2010.09.019","type":"journal-article","created":{"date-parts":[[2010,10,21]],"date-time":"2010-10-21T09:35:49Z","timestamp":1287653749000},"page":"735-740","source":"Crossref","is-referenced-by-count":40,"title":["Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm"],"prefix":"10.1016","volume":"74","author":[{"given":"Jiubao","family":"Li","sequence":"first","affiliation":[]},{"given":"Xinggao","family":"Liu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2010.09.019_bib1","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1002\/(SICI)1097-4628(19970711)65:2<277::AID-APP8>3.0.CO;2-L","article-title":"A design of experiments study on the factors affecting variability in the melt index measurement","volume":"65","author":"Bafna","year":"1997","journal-title":"J. Appl. Polym. Sci."},{"issue":"37","key":"10.1016\/j.neucom.2010.09.019_bib2","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1002\/aic.690370605","article-title":"On-line inference of polymer properties in an industrial polyethylene reactor","volume":"6","author":"McAuley","year":"1991","journal-title":"AICHE J."},{"key":"10.1016\/j.neucom.2010.09.019_bib3","doi-asserted-by":"crossref","first-page":"3931","DOI":"10.1016\/S0009-2509(01)00069-0","article-title":"Single particle modeling for olefin polymerization on supported catalysts: a review and proposals for future developments","volume":"56","author":"McKenna","year":"2001","journal-title":"Chem. Eng. Sci."},{"issue":"22","key":"10.1016\/j.neucom.2010.09.019_bib4","doi-asserted-by":"crossref","first-page":"9434","DOI":"10.1016\/j.polymer.2005.07.049","article-title":"Modeling mass transport of propylene polymerization on Ziegler\u2013Natta catalyst","volume":"46","author":"Chen","year":"2005","journal-title":"Polymer"},{"key":"10.1016\/j.neucom.2010.09.019_bib5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/S0925-2312(00)00305-2","article-title":"Efficient training and improved performance of multilayer perceptron in pattern classification","volume":"34","author":"Chaudhuri","year":"2000","journal-title":"Neurocomputing"},{"issue":"6","key":"10.1016\/j.neucom.2010.09.019_bib6","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1016\/0005-1098(92)90053-I","article-title":"Neural networks for control systems\u2014a survey","volume":"28","author":"Hunt","year":"1992","journal-title":"Automatic"},{"issue":"4","key":"10.1016\/j.neucom.2010.09.019_bib7","first-page":"339","article-title":"Prediction of polypropylene melt index based on robust self-adaptive RBF networks","volume":"14","author":"Cao","year":"1999","journal-title":"Control Decision"},{"issue":"8","key":"10.1016\/j.neucom.2010.09.019_bib8","first-page":"1160","article-title":"Prediction of polypropylene melt index based on RBF networks","volume":"54","author":"Kong","year":"2003","journal-title":"J. Chem. Ind. Eng. (China)"},{"key":"10.1016\/j.neucom.2010.09.019_bib9","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1002\/app.20979","article-title":"Melt index modeling with support vector machines, partial least squares and artificial neural networks","volume":"95","author":"Han","year":"2005","journal-title":"J. Appl. Polym. Sci."},{"issue":"6","key":"10.1016\/j.neucom.2010.09.019_bib10","first-page":"849","article-title":"Melt index prediction by neural soft-sensor based on multi-scale analysis and principal component analysis","volume":"13","author":"Shi","year":"2005","journal-title":"Chin. J. Chem. Eng."},{"key":"10.1016\/j.neucom.2010.09.019_bib11","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1002\/app.23311","article-title":"Melt index prediction by weighted least squares support vector machines","volume":"101","author":"Shi","year":"2006","journal-title":"J. Appl. Polym. Sci."},{"key":"10.1016\/j.neucom.2010.09.019_bib12","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.neucom.2006.01.029","article-title":"Melt index prediction by neural networks based on independent component analysis and multi-scale analysis","volume":"70","author":"Shi","year":"2006","journal-title":"Neurocomputing"},{"issue":"4","key":"10.1016\/j.neucom.2010.09.019_bib13","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1002\/ceat.200500352","article-title":"Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neural networks","volume":"29","author":"Zhang","year":"2006","journal-title":"Chem. Eng. Technol."},{"key":"10.1016\/j.neucom.2010.09.019_bib14","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","article-title":"Universal approximation using radial basic function networks","volume":"3","author":"Park","year":"1990","journal-title":"Neural Comput."},{"issue":"5","key":"10.1016\/j.neucom.2010.09.019_bib15","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1109\/72.298229","article-title":"Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems","volume":"4","author":"Sunil Elanayar","year":"1994","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/j.neucom.2010.09.019_bib16","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1016\/j.compstruc.2004.05.014","article-title":"RBF neural networks for the prediction of building interference effects","volume":"82","author":"Zhang","year":"2004","journal-title":"Comput. Struct."},{"key":"10.1016\/j.neucom.2010.09.019_bib17","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.theochem.2004.11.021","article-title":"Prediction of high weight polymers glass transition temperature using RBF neural networks","volume":"716","author":"Afantitis","year":"2005","journal-title":"J. Mol. Struct.: Theo. Chem."},{"issue":"2","key":"10.1016\/j.neucom.2010.09.019_bib18","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1109\/72.80341","article-title":"Orthogonal least square learning algorithm for radial basic function networks","volume":"2","author":"Chen","year":"1991","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/j.neucom.2010.09.019_bib19","doi-asserted-by":"crossref","unstructured":"J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of the 1995, IEEE International Conference on Neural Networks IV, 1995, pp. 1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"10.1016\/j.neucom.2010.09.019_bib20","doi-asserted-by":"crossref","unstructured":"J. Kennedy, The particle swarm: Social adaptation of knowledge, in: Proceedings of the 1997 International Conference on Evolutionary Computation, 1997, pp. 303\u2013308.","DOI":"10.1109\/ICEC.1997.592326"},{"key":"10.1016\/j.neucom.2010.09.019_bib21","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.compchemeng.2006.05.016","article-title":"An approved PSO algorithm for solving non-convex NLP\/MINLP problems with equality constraints","volume":"31","author":"Luo","year":"2007","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/j.neucom.2010.09.019_bib22","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.1016\/j.eswa.2009.07.075","article-title":"Multiple low voltage power flow solutions using hybrid PSO and optimal multiplier method","volume":"37","author":"Goswami","year":"2010","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.neucom.2010.09.019_bib23","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","article-title":"Optimization by simulated annealing","volume":"220","author":"Kirkpatrick","year":"1983","journal-title":"Science"},{"key":"10.1016\/j.neucom.2010.09.019_bib24","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.neucom.2009.07.005","article-title":"Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm","volume":"73","author":"Lee","year":"2009","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2010.09.019_bib25","doi-asserted-by":"crossref","first-page":"974","DOI":"10.1016\/j.eswa.2009.05.079","article-title":"Ghomi, Development of a PSO-SA hybrid metaheuristic for a new comprehensive regression model to time-series forecasting","volume":"37","author":"Behnamian","year":"2010","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.neucom.2010.09.019_bib26","doi-asserted-by":"crossref","first-page":"2070","DOI":"10.1016\/j.physa.2010.01.016","article-title":"The admissible portfolio selection problem with transaction costs and an improved PSO algorithm","volume":"389","author":"Chen","year":"2010","journal-title":"Physica A"},{"issue":"4","key":"10.1016\/j.neucom.2010.09.019_bib27","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s11814-008-0103-5","article-title":"Prediction and quality control of the melt index during production of high-density polyethylene","volume":"25","author":"Lee","year":"2008","journal-title":"Korea J. Chem. Eng."},{"issue":"1","key":"10.1016\/j.neucom.2010.09.019_bib28","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1007\/s11814-009-0003-3","article-title":"A recursive PLS-based soft sensor for prediction of the melt index during grade change operation in HDPE plant","volume":"26","author":"Ahmed","year":"2009","journal-title":"Korea J. Chem. Eng."},{"key":"10.1016\/j.neucom.2010.09.019_bib29","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1016\/j.advengsoft.2009.01.004","article-title":"A hybrid particle swarm optimization-simplex algorithm (PSOS) for structural damage identification","volume":"40","author":"Begambre","year":"2009","journal-title":"Adv. Eng. Soft."},{"key":"10.1016\/j.neucom.2010.09.019_bib30","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.fluid.2009.03.015","article-title":"Application of stochastic algorithms for parameter estimation in the liquid\u2013liquid phase equilibrium modeling","volume":"280","author":"Ferrari","year":"2009","journal-title":"Fluid. Phase Equilib."},{"issue":"1","key":"10.1016\/j.neucom.2010.09.019_bib31","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1080\/13873959808837066","article-title":"Methods for external validation of continuous system simulation models: a review","volume":"4","author":"Murray-Smith","year":"1998","journal-title":"Math. Compt. Model. Dyn. Syst."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231210004157?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231210004157?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T00:43:48Z","timestamp":1740617028000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231210004157"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,2]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2011,2]]}},"alternative-id":["S0925231210004157"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2010.09.019","relation":{},"ISSN":["0925-2312"],"issn-type":[{"type":"print","value":"0925-2312"}],"subject":[],"published":{"date-parts":[[2011,2]]}}}