{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T07:04:48Z","timestamp":1725865488204},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319465821"},{"type":"electronic","value":"9783319465838"}],"license":[{"start":{"date-parts":[[2016,9,17]],"date-time":"2016-09-17T00:00:00Z","timestamp":1474070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-46583-8_13","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T06:54:27Z","timestamp":1474008867000},"page":"157-174","source":"Crossref","is-referenced-by-count":0,"title":["Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling"],"prefix":"10.1007","author":[{"given":"Krystian","family":"\u0141apa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krzysztof","family":"Cpa\u0142ka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"13_CR1","first-page":"1","volume":"20","author":"Z Bosnic","year":"2001","unstructured":"Bosnic, Z., Kononenko, I.: Correction of regression predictions using the secondary learning on the sensitivity analysis outputs. Comput. Inform. 20, 1\u201317 (2001)","journal-title":"Comput. Inform."},{"key":"13_CR2","volume-title":"Time Series Analysis: Forecasting and Control","author":"G Box","year":"1970","unstructured":"Box, G., Jenkins, G.: Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco (1970)"},{"key":"13_CR3","unstructured":"Brooks, T.F., Pope, D.S., Marcolini, A.M.: Airfoil self-noise and prediction. Technical report, NASA RP-1218 (1989)"},{"key":"13_CR4","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.ins.2014.11.030","volume":"298","author":"CJ Carmona","year":"2015","unstructured":"Carmona, C.J., Ruiz-Rodado, V., del Jesus, M.J., Weber, A., Grootveld, M., Gonz\u00e1lez, P., Elizondo, D.: A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Inf. Sci. 298, 180\u2013197 (2015)","journal-title":"Inf. Sci."},{"issue":"2","key":"13_CR5","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1515\/jaiscr-2015-0001","volume":"4","author":"S Cheng","year":"2014","unstructured":"Cheng, S., Shi, Y., Qin, Q., Zhang, Q., Bai, R.: Population diversity maintenance in brain storm optimization algorithm. J. Artif. Intell. Soft Comput. Res. 4(2), 83\u201397 (2014)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"13_CR6","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.neucom.2013.12.031","volume":"135","author":"K Cpa\u0142ka","year":"2014","unstructured":"Cpa\u0142ka, K., \u0141apa, K., Przyby\u0142, A., Zalasi\u0144ski, M.: A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing 135, 203\u2013217 (2014)","journal-title":"Neurocomputing"},{"key":"13_CR7","unstructured":"Edmonds, A.N., Kershaw, P.S.: Genetic programming of Fuzzy logic production rules with application to financial trading. In: Proceedings of the IEEE World Conference on Computational Intelligence, Orlando, Florida (1994)"},{"key":"13_CR8","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/978-3-319-19369-4_34","volume":"9120","author":"M Gabryel","year":"2015","unstructured":"Gabryel, M., Wo\u017aniak, M., Dama\u0161evi\u010dius, R.: An application of differential evolution to positioning queueing systems. Lect. Notes Comput. Sci. 9120, 379\u2013390 (2015)","journal-title":"Lect. Notes Comput. Sci."},{"issue":"20","key":"13_CR9","doi-asserted-by":"crossref","first-page":"4340","DOI":"10.1016\/j.ins.2011.02.021","volume":"181","author":"MJ Gacto","year":"2011","unstructured":"Gacto, M.J., Alcal\u00e1, R., Herrera, F.: Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures. Inf. Sci. 181(20), 4340\u20134360 (2011)","journal-title":"Inf. Sci."},{"key":"13_CR10","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: theory and applications. Neurocomputing 70, 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"13_CR11","unstructured":"\u0141apa, K.: Algorithms for extracting interpretable expert knowledge in nonlinear modeling issues. Ph.D. thesis (in polish), Czestochowa University of Technology (2015)"},{"key":"13_CR12","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1007\/978-3-319-19324-3_41","volume":"9119","author":"K \u0141apa","year":"2015","unstructured":"\u0141apa, K., Cpa\u0142ka, K., Galushkin, A.I.: A new interpretability criteria for neuro-fuzzy systems for nonlinear classification. Artif. Intell. Soft Comput. Lect. Notes Comput. Sci. 9119, 448\u2013468 (2015)","journal-title":"Artif. Intell. Soft Comput. Lect. Notes Comput. Sci."},{"issue":"2015","key":"13_CR13","first-page":"111","volume":"429","author":"K \u0141apa","year":"2015","unstructured":"\u0141apa, K., Cpa\u0142ka, K.: On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection. Adv. Intell. Syst. Comput. 429, 111\u2013123 (2015)","journal-title":"Adv. Intell. Syst. Comput."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Mendes, R.R.F., Voznika, F.B., Freitas, A.A., Nievola, J.C.: Discovering fuzzy classification rules with genetic programming and co-evolution. In: De Raedt, L., Siebes, A. (eds.) PKDD 2001, LNAI 2168, pp. 314\u2013325 (2001)","DOI":"10.1007\/3-540-44794-6_26"},{"key":"13_CR15","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1090\/S0002-9939-1954-0064787-4","volume":"5","author":"MR Robinson","year":"1954","unstructured":"Robinson, M.R.: Mersenne and Fermat numbers. Proc. Am. Math. Soc. 5, 842\u2013846 (1954)","journal-title":"Proc. Am. Math. Soc."},{"key":"13_CR16","volume-title":"Fitting models to biological data using linear and nonlinear regression. A practical guide to curve fitting","author":"HJ Motulsky","year":"2003","unstructured":"Motulsky, H.J., Christopoulos, A.: Fitting models to biological data using linear and nonlinear regression. A practical guide to curve fitting. GraphPad Software Inc., San Diego, CA (2003)"},{"key":"13_CR17","doi-asserted-by":"crossref","first-page":"2085","DOI":"10.1016\/j.asoc.2012.03.017","volume":"12","author":"K Nallasamy","year":"2012","unstructured":"Nallasamy, K., Ratnavelu, K.: Optimal control for stochastic linear quadratic singular Takagi-Sugeno fuzzy delay system using genetic programming. Appl. Soft Comput. 12, 2085\u20132090 (2012)","journal-title":"Appl. Soft Comput."},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Preen, R.J., Bull, L.: Fuzzy dynamical genetic programming in XCSF. In: GECCO\u201911, July 12\u201316, 2011, pp. 167\u2013168","DOI":"10.1145\/2001858.2001952"},{"key":"13_CR19","unstructured":"Quinlan, J.R.: Learning with continuous classes. In: Adams, A., Sterling, L. (eds.) Proceedings 5th Australian Joint Conference on AI, World Scientific, Singapore (1992)"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Rutkowski, L.: Computational Intelligence. Springer (2008)","DOI":"10.1007\/978-3-540-76288-1"},{"issue":"1","key":"13_CR21","first-page":"77","volume":"41","author":"Z Stanimirovic","year":"2012","unstructured":"Stanimirovic, Z., Maric, M., Bozovic, S., Stanojevic, P.: An efficient evolutionary algorithm for locating long-term care facilities. Inf. Technol. Control 41(1), 77\u201389 (2012)","journal-title":"Inf. Technol. Control"},{"key":"13_CR22","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/TFUZZ.1993.390281","volume":"1","author":"M Sugeno","year":"1993","unstructured":"Sugeno, M., Yasukawa, T.: A fuzzy-logic based approach to qualitative modelling. IEEE Trans. Fuzzy Syst. 1, 7\u201331 (1993)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"6","key":"13_CR23","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.cemconcomp.2007.02.001","volume":"29","author":"IC Yeh","year":"2007","unstructured":"Yeh, I.C.: Modeling slump flow of concrete using second\u2013order regressions and artificial neural networks. Cement Concr. Compos. 29(6), 474\u2013480 (2007)","journal-title":"Cement Concr. Compos."}],"container-title":["Advances in Intelligent Systems and Computing","Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology \u2013 ISAT 2016 \u2013 Part I"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46583-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T18:58:05Z","timestamp":1498330685000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46583-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,17]]},"ISBN":["9783319465821","9783319465838"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46583-8_13","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016,9,17]]}}}