{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T14:30:53Z","timestamp":1688740253220},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,11,12]],"date-time":"2014-11-12T00:00:00Z","timestamp":1415750400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1007\/s10846-014-0152-4","type":"journal-article","created":{"date-parts":[[2014,11,14]],"date-time":"2014-11-14T16:33:13Z","timestamp":1415982793000},"page":"105-125","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Hierarchical Fuzzy Clustering in Conjunction with Particle Swarm Optimization to Efficiently Design RBF Neural Networks"],"prefix":"10.1007","volume":"78","author":[{"given":"Antonios D.","family":"Niros","sequence":"first","affiliation":[]},{"given":"George E.","family":"Tsekouras","sequence":"additional","affiliation":[]},{"given":"Dimitrios","family":"Tsolakis","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Manousakis-Kokorakis","sequence":"additional","affiliation":[]},{"given":"Dimosthenis","family":"Kyriazis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,11,12]]},"reference":[{"key":"152_CR1","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/S1367-5788(03)00009-9","volume":"27","author":"R Babuska","year":"2004","unstructured":"Babuska, R., Verbruggen, H.: Neuro-fuzzy methods for nonlinear system identification. Annu. Rev. Control. 27, 73\u201385 (2004)","journal-title":"Annu. Rev. Control."},{"key":"152_CR2","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1016\/S0031-3203(01)00033-4","volume":"35","author":"F Behloul","year":"2002","unstructured":"Behloul, F., Lelieveldt, B.P.F., Boudraa, A., Reiber, J.H.C.: Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data. Pattern Recog. 35, 659\u2013675 (2002)","journal-title":"Pattern Recog."},{"key":"152_CR3","unstructured":"Carlisle, A., Dozier, G.: Adapting particle swarm optimization to dynamic environments. In Proceedings of International Conference on Artificial Intelligence (2000)"},{"issue":"4","key":"152_CR4","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/TEVC.2009.2035921","volume":"14","author":"S Chen","year":"2010","unstructured":"Chen, S., Hong, X., Harris, C.J.: Particle swarm optimization aided orthogonal forward regression for unified data modeling. IEEE Trans. Evol. Comput. 14(4), 477\u2013499 (2010)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"152_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., Yang, B., Zhou, J.: Automatic Design of Hierarchical RBF Networks for System Identification (2006)","DOI":"10.1007\/978-3-540-36668-3_159"},{"key":"152_CR6","doi-asserted-by":"crossref","DOI":"10.1002\/9780470612163","volume-title":"Particle swarm optimization","author":"M Clerc","year":"2006","unstructured":"Clerc, M.: Particle swarm optimization. ISTE, London (2006)"},{"issue":"1","key":"152_CR7","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc, M., Kennedy, J.: The particle swarm\u2014explosion. Stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1), 58\u201373 (2002)","journal-title":"IEEE Trans Evol Comput"},{"key":"152_CR8","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.neucom.2012.12.024","volume":"111","author":"V Fathi","year":"2013","unstructured":"Fathi, V., Montazer, Gh.A.: An improvement in RBF learning algorithm based on PSO for real time applications. Neurocomputing 111, 169\u2013176 (2013)","journal-title":"Neurocomputing"},{"issue":"1","key":"152_CR9","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1109\/72.977289","volume":"13","author":"J Gonz\u00e1lez","year":"2002","unstructured":"Gonz\u00e1lez, J., Rojas, I., Pomares, H., Ortega, J., Alberto, Pr.: A New Clustering Technique for Function Approximation. IEEE Trans. Neural Netw. 13(1), 132\u2013142 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"152_CR10","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1016\/S0031-3203(02)00231-5","volume":"36","author":"JH Haddadnia","year":"2003","unstructured":"Haddadnia, J.H., Faez, K., Ahmadi, M.: A fuzzy hybrid algorithm for radial basis function neural network application in human face recognition. Pattern Recogn. 36, 1187\u20131202 (2003)","journal-title":"Pattern Recogn."},{"key":"152_CR11","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S Haykin","year":"1999","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, NJ (1999)"},{"issue":"9","key":"152_CR12","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.1109\/TNN.2010.2055888","volume":"21","author":"M Hou","year":"2010","unstructured":"Hou, M., Han, X.: Constructive approximation to multivariate function by decay RBF neural network. IEEE Trans. Neural Netw. 21(9), 1517\u20131523 (2010)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"152_CR13","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1109\/TNN.2011.2120619","volume":"22","author":"HX Huan","year":"2011","unstructured":"Huan, H.X., Hien, D.T.T., Tue, H.H.: Efficient algorithm for training interpolation RBF networks with equally spaced nodes. IEEE Trans. Neural Netw. 22(6), 982\u2013988 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"key":"152_CR14","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0165-0114(97)00322-9","volume":"107","author":"DA Linkens","year":"1999","unstructured":"Linkens, D.A., Chen, M.Y.: Input selection and partition validation for fuzzy modelling using neural network. Fuzzy Sets System 107, 299\u2013308 (1999)","journal-title":"Fuzzy Sets System"},{"key":"152_CR15","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1109\/TFUZZ.2003.812693","volume":"11","author":"SJ Lee","year":"2003","unstructured":"Lee, S.J., Ouyang, C.S.: A neuro-fuzzy system modeling with self constructing rule generation and hybrid SVD-based learning. IEEE Trans. Fuzzy Syst. 11, 341\u201353 (2003)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"152_CR16","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.fss.2011.08.011","volume":"193","author":"AD Niros","year":"2012","unstructured":"Niros, A.D., Tsekouras, G.E.: A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach. Fuzzy Sets Syst. 193, 62\u201384 (2012)","journal-title":"Fuzzy Sets Syst."},{"issue":"1","key":"152_CR17","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.neucom.2011.06.031","volume":"78","author":"SK Oh","year":"2012","unstructured":"Oh, S.K., Kim, W.D., Pedrycz, W., Joo, S.C.: Design of Kmeans clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78(1), 121\u2013132 (2012)","journal-title":"Neurocomputing"},{"issue":"10","key":"152_CR18","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1109\/TNN.2009.2027319","volume":"20","author":"HS Park","year":"2009","unstructured":"Park, H.S., Pedrycz, W., Oh, S.K.: Granular neural networks and their development through context-based clustering and adjustable dimensionality of receptive fields. IEEE Trans. Neural Netw. 20(10), 1604\u20131616 (2009)","journal-title":"IEEE Trans. Neural Netw."},{"key":"152_CR19","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.neucom.2007.12.016","volume":"72","author":"W Pedrycz","year":"2008","unstructured":"Pedrycz, W., Park, H.S., Oh, S.K.: A granular-oriented development of functional radial basis function neural networks. Neurocomputing 72, 420\u2013435 (2008)","journal-title":"Neurocomputing"},{"key":"152_CR20","doi-asserted-by":"crossref","unstructured":"Qasem, S.N., Shamsuddin, S.M.: Improving Performance of Radial Basis Function Network with Particle Swarm Optimization. IEEE International Conference on Systems, Man and Cybernetics (2009)","DOI":"10.1109\/CEC.2009.4983342"},{"key":"152_CR21","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1016\/j.asoc.2010.04.014","volume":"11","author":"SN Qasem","year":"2011","unstructured":"Qasem, S.N., Shamsuddin, S.M.: Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis. Appl. Soft Comput. 11, 1427\u20131438 (2011)","journal-title":"Appl. Soft Comput."},{"key":"152_CR22","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0260-8774(00)00087-X","volume":"46","author":"CG Raptis","year":"2000","unstructured":"Raptis, C.G., Siettos, C.I., Kiranoudis, C.T., Bafas, G.V.: Classification of aged wine distillates using fuzzy and neural network systems. J. Food Eng. 46, 267\u2013275 (2000)","journal-title":"J. Food Eng."},{"key":"152_CR23","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/S0893-6080(01)00027-2","volume":"14","author":"F Schwenker","year":"2001","unstructured":"Schwenker, F., Kestler, H.A., Palm, G.: Three learning phases for radial-basis-function networks. Neural Networks 14, 439\u2013458 (2001)","journal-title":"Neural Networks"},{"key":"152_CR24","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/978-3-642-13278-0_22","volume":"6063","author":"Y Shao","year":"2010","unstructured":"Shao, Y., Chen, Q., Jiang, H.: RBF neural network based on particle swarm optimization. Lect. Notes Comput. Sci. 6063, 169\u2013176 (2010)","journal-title":"Lect. Notes Comput. Sci."},{"key":"152_CR25","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1016\/j.neunet.2005.02.006","volume":"18","author":"D Shi","year":"2005","unstructured":"Shi, D., Yeung, D.S., Gao, J.: Sensitivity analysis applied to the construction of radial basis function networks. Neural Netw. 18, 951\u2013957 (2005)","journal-title":"Neural Netw."},{"key":"152_CR26","first-page":"841","volume":"2","author":"JK Sing","year":"2003","unstructured":"Sing, J.K., Basu, D.K., Nasipuri, M., Kundu, M.: Improved k-means algorithm in the design of RBF neural networks. International Conference on Convergent Technologies for Asia-Pacific Region 2, 841\u2013845 (2003)","journal-title":"International Conference on Convergent Technologies for Asia-Pacific Region"},{"key":"152_CR27","doi-asserted-by":"crossref","first-page":"1570","DOI":"10.1016\/j.neucom.2005.06.014","volume":"69","author":"A Staiano","year":"2006","unstructured":"Staiano, A., Tagliaferri, R., Pedrycz, W.: Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputing 69, 1570\u20131581 (2006)","journal-title":"Neurocomputing"},{"issue":"5","key":"152_CR28","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/0031-3203(94)90052-3","volume":"27","author":"ECK Tsao","year":"1994","unstructured":"Tsao, E.C.K., Bezdek, J.C., Pal, N.R.: Fuzzy Kohonen clustering networks. Pattern Recogn. 27(5), 757\u2013764 (1994)","journal-title":"Pattern Recogn."},{"issue":"5","key":"152_CR29","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/S0965-9978(03)00034-6","volume":"34","author":"GE Tsekouras","year":"2003","unstructured":"Tsekouras, G.E., Sarimveis, H., Bafas, G.: A simple algorithm for training fuzzy systems using input\u2013output data. Adv. Eng. Softw. 34(5), 247\u2013259 (2003)","journal-title":"Adv. Eng. Softw."},{"issue":"3","key":"152_CR30","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/S0098-1354(01)00762-1","volume":"26","author":"GE Tsekouras","year":"2002","unstructured":"Tsekouras, G.E., Sarimveis, H., Raptis, C., Bafas, G.: A fuzzy logic approach for the classification of product qualitative characteristics. Comput. Chem. Eng. 26(3), 429\u2013438 (2002)","journal-title":"Comput. Chem. Eng."},{"key":"152_CR31","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.fss.2012.10.004","volume":"221","author":"GE Tsekouras","year":"2013","unstructured":"Tsekouras, G.E., Tsimikas, J.: On Training RBF Neural Networks Using Input-Output Fuzzy Clustering and Particle Swarm Optimization. Fuzzy Sets Syst. 221, 65\u201389 (2013)","journal-title":"Fuzzy Sets Syst."},{"issue":"1\u20132","key":"152_CR32","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1504\/IJAISC.2010.032514","volume":"2","author":"F Valdez","year":"2010","unstructured":"Valdez, F., Melin, P., Castillo, O.: Evolutionary method combining particle swarm optimisation and genetic algorithms using fuzzy logic for parameter adaptation and aggregation: The case neural network optimisation for face recognition. Int. J. Artif. Intell. Soft Comput. 2(1\u20132), 77\u2013102 (2010)","journal-title":"Int. J. Artif. Intell. Soft Comput."},{"issue":"2","key":"152_CR33","doi-asserted-by":"crossref","first-page":"2625","DOI":"10.1016\/j.asoc.2010.10.010","volume":"11","author":"F Valdez","year":"2011","unstructured":"Valdez, F., Melin, P., Castillo, O.: An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms. Appl. Soft Comput. 11(2), 2625\u20132632 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"152_CR34","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1109\/TSMCB.2010.2101591","volume":"41","author":"YW Wong","year":"2011","unstructured":"Wong, Y.W., Seng, K.P., Ang, L.M.: Radial basis function neural network with incremental learning for face recognition. IEEE Trans. Syst., Man., Cybern. B, Cybern. 41(4), 940\u2013949 (2011)","journal-title":"IEEE Trans. Syst., Man., Cybern. B, Cybern."},{"issue":"4","key":"152_CR35","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1109\/TNNLS.2012.2185059","volume":"23","author":"T Xie","year":"2012","unstructured":"Xie, T., Yu, H., Hewlett, J., R\u00f3zycki, P., Wilamowski, B.: Fast and efficient second-order method for training radial basis function networks. IEEE Trans. Neural Netw. 23(4), 609\u2013619 (2012)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"152_CR36","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1109\/72.857766","volume":"11","author":"U Zekeriya","year":"2000","unstructured":"Zekeriya, U., G\u00fczelis, C., \u00c7elebi, M.E., Koivo, H.N.: Analysis of Input\u2013Output Clustering for Determining Centers of RBFN. IEEE Trans. Neural Netw. 11(4), 851\u2013858 (2000)","journal-title":"IEEE Trans. Neural Netw."}],"container-title":["Journal of Intelligent & Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-014-0152-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10846-014-0152-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-014-0152-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T07:38:30Z","timestamp":1566027510000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10846-014-0152-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,12]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,4]]}},"alternative-id":["152"],"URL":"https:\/\/doi.org\/10.1007\/s10846-014-0152-4","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,11,12]]}}}