{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:50:41Z","timestamp":1750308641120,"version":"3.41.0"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319590592"},{"type":"electronic","value":"9783319590608"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59060-8_21","type":"book-chapter","created":{"date-parts":[[2017,5,23]],"date-time":"2017-05-23T08:42:30Z","timestamp":1495528950000},"page":"221-232","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms"],"prefix":"10.1007","author":[{"given":"Piotr","family":"Dziwi\u0144ski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u0141ukasz","family":"Bartczuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huang","family":"Tingwen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,24]]},"reference":[{"issue":"4","key":"21_CR1","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1515\/jaiscr-2015-0031","volume":"5","author":"MH Aghdam","year":"2015","unstructured":"Aghdam, M.H., Heidari, S.: Feature selection using particle swarm optimization in text categorization. J. Artif. Intell. Soft Comput. Res. 5(4), 231\u2013238 (2015)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"21_CR2","series-title":"Advances in Intelligent Systems and Computing","volume-title":"Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology","author":"\u0141 Bartczuk","year":"2016","unstructured":"Bartczuk, \u0141.: Gene expression programming in correction modelling of nonlinear dynamic objects. In: Borzemski, L., Grzech, A., \u015awiatek, J., Wilimowska, Z. (eds.) ISAT 2015\u2013Part I. Advances in Intelligent Systems and Computing. Springer, Cham (2016)"},{"key":"21_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-319-07173-2_16","volume-title":"Artificial Intelligence and Soft Computing","author":"\u0141 Bartczuk","year":"2014","unstructured":"Bartczuk, \u0141., Przyby\u0142, A., Koprinkova-Hristova, P.: New method for nonlinear fuzzy correction modelling of dynamic objects. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014. LNCS, vol. 8467, pp. 169\u2013180. Springer, Cham (2014). doi:10.1007\/978-3-319-07173-2_16"},{"issue":"4","key":"21_CR4","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1515\/jaiscr-2016-0017","volume":"6","author":"\u00cd Brasileiro","year":"2016","unstructured":"Brasileiro, \u00cd., Santos, A., Rablo, R., Mazullo, F.: Ant colony optimization applied to the problem of choosing the best combination among m combinations of shortest paths in transparent optical networks. J. Artif. Intell. Soft Comput. Res. 6(4), 231\u2013242 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"21_CR5","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3233\/IFS-1994-2306","volume":"2","author":"S Chiu","year":"1994","unstructured":"Chiu, S.: Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 2(3), 267\u2013278 (1994)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"21_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1007\/11785231_23","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"K Cpa\u0142ka","year":"2006","unstructured":"Cpa\u0142ka, K.: A method for designing flexible neuro-fuzzy systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS, vol. 4029, pp. 212\u2013219. Springer, Heidelberg (2006). doi:10.1007\/11785231_23"},{"key":"21_CR7","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1016\/j.na.2009.02.028","volume":"71","author":"K Cpa\u0142ka","year":"2009","unstructured":"Cpa\u0142ka, K.: On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification. Nonlinear Anal. Ser. A: Theor. Methods Appl. 71, 1659\u20131672 (2009). Elsevier","journal-title":"Nonlinear Anal. Ser. A: Theor. Methods Appl."},{"key":"21_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-52881-6","volume-title":"Design of Interpretable Fuzzy Systems","author":"K Cpa\u0142ka","year":"2017","unstructured":"Cpa\u0142ka, K.: Design of Interpretable Fuzzy Systems. Springer, Heidelberg (2017)"},{"issue":"4","key":"21_CR9","doi-asserted-by":"crossref","first-page":"433","DOI":"10.5755\/j01.itc.44.4.10214","volume":"44","author":"K Cpa\u0142ka","year":"2015","unstructured":"Cpa\u0142ka, K., \u0141apa, K., Przyby\u0142, A.: A new approach to design of control systems using genetic programming. Inf. Technol. Control 44(4), 433\u2013442 (2015)","journal-title":"Inf. Technol. Control"},{"issue":"6","key":"21_CR10","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1080\/03081079.2013.798912","volume":"42","author":"K Cpa\u0142ka","year":"2013","unstructured":"Cpa\u0142ka, K., Rebrova, O., Nowicki, R., Rutkowski, L.: On design of flexible neuro-fuzzy systems for nonlinear modelling. Int. J. Gen. Syst. 42(6), 706\u2013720 (2013)","journal-title":"Int. J. Gen. Syst."},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Cpa\u0142ka, K., Rutkowski, L.: Flexible Takagi-Sugeno fuzzy systems. In: Proceedings of the 2005 IEEE International Joint Conference on IJCNN 2005, vol. 3, pp. 1764\u20131769 (2005)","DOI":"10.1109\/IJCNN.2005.1556147"},{"issue":"9","key":"21_CR12","first-page":"1450","volume":"4","author":"K Cpa\u0142ka","year":"2005","unstructured":"Cpa\u0142ka, K., Rutkowski, L.: Flexible Takagi Sugeno neuro-fuzzy structures for nonlinear approximation. WSEAS Trans. Syst. 4(9), 1450\u20131458 (2005)","journal-title":"WSEAS Trans. Syst."},{"key":"21_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.1007\/11785231_116","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"P Dziwi\u00f1ski","year":"2006","unstructured":"Dziwi\u00f1ski, P., Rutkowska, D.: Algorithm for generating fuzzy rules for WWW document classification. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS, vol. 4029, pp. 1111\u20131119. Springer, Heidelberg (2006). doi:10.1007\/11785231_116"},{"key":"21_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/978-3-319-07176-3_31","volume-title":"Artificial Intelligence and Soft Computing","author":"P Dziwi\u0144ski","year":"2014","unstructured":"Dziwi\u0144ski, P., Bartczuk, \u0141., Przyby\u0142, A., Avedyan, E.D.: A new algorithm for identification of significant operating points using swarm intelligence. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014. LNCS, vol. 8468, pp. 349\u2013362. Springer, Cham (2014). doi:10.1007\/978-3-319-07176-3_31"},{"key":"21_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/978-3-319-39384-1_25","volume-title":"Artificial Intelligence and Soft Computing","author":"P Dziwi\u0144ski","year":"2016","unstructured":"Dziwi\u0144ski, P., Avedyan, E.D.: A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS, vol. 9693, pp. 293\u2013305. Springer, Cham (2016). doi:10.1007\/978-3-319-39384-1_25"},{"key":"21_CR16","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s12543-013-0144-2","volume":"5","author":"M Eftekhari","year":"2013","unstructured":"Eftekhari, M., Zeinalkhani, M.: Extracting interpretable fuzzy models for nonlinear systems using gradient-based continuous ant colony optimization. Fuzzy Inf. Eng. 5, 255\u2013277 (2013). Springer","journal-title":"Fuzzy Inf. Eng."},{"key":"21_CR17","unstructured":"Gabryel, M., Cpa\u0142ka, K., Rutkowski, L.: Evolutionary strategies for learning of neuro-fuzzy systems. In: Proceedings of the I Workshop on Genetic Fuzzy Systems, Granada, pp. 119\u2013123 (2005)"},{"key":"21_CR18","unstructured":"Korytkowski, M.: Novel visual information indexing in relational databases. preprint, Integrated Computer-Aided Engineering, pp. 1\u201310 (2016)"},{"key":"21_CR19","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.ins.2015.08.030","volume":"327","author":"M Korytkowski","year":"2016","unstructured":"Korytkowski, M., Rutkowski, L., Scherer, R.: Fast image classification by boosting fuzzy classifiers. Inf. Sci. 327, 175\u2013182 (2016)","journal-title":"Inf. Sci."},{"key":"21_CR20","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/978-3-319-07173-2_20","volume":"8467","author":"K \u0141apa","year":"2014","unstructured":"\u0141apa, K., Cpa\u0142ka, K., Wang, L.: New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability. Artif. Intell. Soft Comput. 8467, 217\u2013232 (2014)","journal-title":"Artif. Intell. Soft Comput."},{"key":"21_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/978-3-642-38610-7_48","volume-title":"Artificial Intelligence and Soft Computing","author":"K \u0141apa","year":"2013","unstructured":"\u0141apa, K., Przyby\u0142, A., Cpa\u0142ka, K.: A new approach to designing interpretable models of dynamic systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013. LNCS, vol. 7895, pp. 523\u2013534. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-38610-7_48"},{"key":"21_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-319-19369-4_23","volume-title":"Artificial Intelligence and Soft Computing","author":"K \u0141apa","year":"2015","unstructured":"\u0141apa, K., Szczypta, J., Venkatesan, R.: Aspects of structure and parameters selection of control systems using selected multi-population algorithms. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS, vol. 9120, pp. 247\u2013260. Springer, Cham (2015). doi:10.1007\/978-3-319-19369-4_23"},{"key":"21_CR23","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-642-28962-0_13","volume-title":"Emerging Trends and Applications in Information Communication Technologies","author":"A Muhammad","year":"2012","unstructured":"Muhammad, A., Helon, V., Muhammad, A.: Nonlinear system identification using neural network. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds.) Emerging Trends and Applications in Information Communication Technologies. Communications in Computer and Information Science, vol. 281, pp. 122\u2013131. Springer, Heidelberg (2012)"},{"key":"21_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1007\/978-3-642-29350-4_82","volume-title":"Artificial Intelligence and Soft Computing","author":"A Przyby\u0142","year":"2012","unstructured":"Przyby\u0142, A., Cpa\u0142ka, K.: A new method to construct of interpretable models of dynamic systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012. LNCS, vol. 7268, pp. 697\u2013705. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-29350-4_82"},{"key":"21_CR25","series-title":"Advances in Soft Computing","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1007\/978-3-7908-1902-1_56","volume-title":"Neural Networks and Soft Computing","author":"A Przyby\u0142","year":"2003","unstructured":"Przyby\u0142, A., Jelonkiewicz, J.: Genetic algorithm for observer parameters tuning in sensorless induction motor drive. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing. Advances in Soft Computing, vol. 19, pp. 376\u2013381. Physica, Heidelberg (2003)"},{"key":"21_CR26","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Flexible structures of neuro-fuzzy systems. Quo Vadis Computational Intelligence, Studies in Fuzziness and Soft Computing, vol. 54, pp. 479\u2013484. Springer, Heidelberg (2000)"},{"key":"21_CR27","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Flexible weighted neuro-fuzzy systems. In: Proceedings of the 9th International Conference on Neural Information Processing (ICONIP 2002), Orchid Country Club, Singapore, 18\u201322 November 2002"},{"key":"21_CR28","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Compromise approach to neuro-fuzzy systems. In: Proceedings of the 2nd Euro-International Symposium on Computation Intelligence, Frontiers in Artificial Intelligence and Applications, vol. 76, pp. 85\u201390 (2002)"},{"key":"21_CR29","doi-asserted-by":"crossref","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Neuro-fuzzy systems derived from quasi-triangular norms. In: Proceedings of the IEEE International Conference on Fuzzy Systems, Budapest, vol. 2, pp. 1031\u20131036, July 26\u201329 2004","DOI":"10.1109\/FUZZY.2004.1375551"},{"issue":"3","key":"21_CR30","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1515\/jaiscr-2016-0013","volume":"6","author":"V Stanovov","year":"2016","unstructured":"Stanovov, V., Semenkin, E., Semenkina, O.: Self-configuring hybrid evolutionary algorithm for fuzzy imbalanced classification with adaptive instance selection. J. Artif. Intell. Soft Comput. Res. 6(3), 173\u2013188 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"21_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/978-3-319-07173-2_38","volume-title":"Artificial Intelligence and Soft Computing","author":"J Szczypta","year":"2014","unstructured":"Szczypta, J., \u0141apa, K., Shao, Z.: Aspects of the selection of the structure and parameters of controllers using selected population based algorithms. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014. LNCS, vol. 8467, pp. 440\u2013454. Springer, Cham (2014). doi:10.1007\/978-3-319-07173-2_38"},{"key":"21_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-642-38610-7_9","volume-title":"Artificial Intelligence and Soft Computing","author":"J Szczypta","year":"2013","unstructured":"Szczypta, J., Przyby\u0142, A., Cpa\u0142ka, K.: Some aspects of evolutionary designing optimal controllers. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013. LNCS, vol. 7895, pp. 91\u2013100. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-38610-7_9"},{"key":"21_CR33","series-title":"Advances in Soft Computing","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1007\/978-3-7908-1902-1_87","volume-title":"Neural Networks and Soft Computing","author":"J Starczewski","year":"2003","unstructured":"Starczewski, J., Rutkowski, L.: Interval type 2 neuro-fuzzy systems based on interval consequents. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing. Advances in Soft Computing, vol. 19, pp. 570\u2013577. Springer, Heidelberg (2003)"},{"key":"21_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1007\/3-540-48086-2_70","volume-title":"Parallel Processing and Applied Mathematics","author":"J Starczewski","year":"2002","unstructured":"Starczewski, J., Rutkowski, L.: Connectionist structures of type 2 fuzzy inference systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Wa\u015bniewski, J. (eds.) PPAM 2001. LNCS, vol. 2328, pp. 634\u2013642. Springer, Heidelberg (2002). doi:10.1007\/3-540-48086-2_70"},{"key":"21_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30604-4","volume-title":"Multiple Fuzzy Classification Systems","author":"R Scherer","year":"2012","unstructured":"Scherer, R.: Multiple Fuzzy Classification Systems. Springer, Heidelberg (2012)"},{"key":"21_CR36","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-1-4471-2386-6_193","volume-title":"Information Engineering and Applications","author":"L Xinghua","year":"2012","unstructured":"Xinghua, L., Jiang, M., Jike, G.: A method research on nonlinear system identification based on neural network. In: Zhu, R., Ma, Y. (eds.) Information Engineering and Applications. LNEE, vol. 154, pp. 234\u2013240. Springer, Heidelberg (2012). doi:10.1007\/978-1-4471-2386-6_193"},{"issue":"3","key":"21_CR37","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1515\/jaiscr-2016-0015","volume":"6","author":"CH Yang","year":"2016","unstructured":"Yang, C.H., Moi, S.H., Lin, Y.D., Chuang, L.Y.: Genetic algorithm combined with a local search method for identifying susceptibility genes. J. Artif. Intell. Soft Comput. Res. 6(3), 203\u2013212 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"21_CR38","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K.: A new method of on-line signature verification using a flexible fuzzy one-class classifier. pp. 38\u201353. Academic Publishing House EXIT (2011)"},{"key":"21_CR39","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-3-319-28567-2_12","volume":"432","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M.: New algorithm for on-line signature verification using characteristic global features. Adv. Intell. Syst. Comput. 432, 137\u2013146 (2016). doi:10.1007\/978-3-319-28567-2_12","journal-title":"Adv. Intell. Syst. Comput."},{"key":"21_CR40","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/978-3-319-28567-2_13","volume":"432","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K.: New algorithm for on-line signature verification using characteristic hybrid partitions. Adv. Intell. Syst. Comput. 432, 147\u2013157 (2016). doi:10.1007\/978-3-319-28567-2_13","journal-title":"Adv. Intell. Syst. Comput."},{"key":"21_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-319-39384-1_20","volume-title":"Artificial Intelligence and Soft Computing","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K., Hayashi, Y.: A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS, vol. 9693, pp. 218\u2013231. Springer, Cham (2016). doi:10.1007\/978-3-319-39384-1_20"},{"key":"21_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1007\/978-3-319-39384-1_21","volume-title":"Artificial Intelligence and Soft Computing","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K., Rakus-Andersson, E.: An Idea of the Dynamic Signature Verification Based on a Hybrid Approach. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS, vol. 9693, pp. 232\u2013246. Springer, Cham (2016). doi:10.1007\/978-3-319-39384-1_21"},{"key":"21_CR43","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.asoc.2016.02.017","volume":"43","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K., Rutkowski, L.: A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. Appl. Soft Comput. 43, 47\u201356 (2016)","journal-title":"Appl. Soft Comput."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59060-8_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:15:43Z","timestamp":1750274143000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-59060-8_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590592","9783319590608"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59060-8_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"24 May 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}