{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:06:37Z","timestamp":1742961997866,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031234910"},{"type":"electronic","value":"9783031234927"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-23492-7_1","type":"book-chapter","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T10:03:37Z","timestamp":1674468217000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Fast Learning Algorithm for\u00a0the\u00a0Multi-layer Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1769-3934","authenticated-orcid":false,"given":"Jaros\u0142aw","family":"Bilski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7683-9051","authenticated-orcid":false,"given":"Bartosz","family":"Kowalczyk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,24]]},"reference":[{"issue":"1","key":"1_CR1","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2478\/jaiscr-2021-0002","volume":"11","author":"FE Alsaadi","year":"2021","unstructured":"Alsaadi, F.E., et al.: On knowledge discovery and representations of molecular structures using topological indices. J. Artif. Intell. Soft Comput. Res. 11(1), 21\u201335 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-540-24844-6_18","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2004","unstructured":"Bilski, J.: Momentum modification of the RLS algorithms. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 151\u2013157. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24844-6_18"},{"key":"1_CR3","unstructured":"Bilski, J.: Struktury r\u00f3wnoleg\u0142e dla jednokierunkowych i dynamicznych sieci neuronowych. Akademicka Oficyna Wydawnicza EXIT (2013)"},{"issue":"4","key":"1_CR4","doi-asserted-by":"publisher","first-page":"299","DOI":"10.2478\/jaiscr-2020-0020","volume":"10","author":"J Bilski","year":"2020","unstructured":"Bilski, J., Kowalczyk, B., Marchlewska, A., \u017burada, J.M.: Local Levenberg-Marquardt algorithm for learning feedforwad neural networks. J. Artif. Intell. Soft Comput. Res. 10(4), 299\u2013316 (2020)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"6","key":"1_CR5","first-page":"749","volume":"45","author":"J Bilski","year":"1998","unstructured":"Bilski, J., Rutkowski, L.: A fast training algorithm for neural networks. IEEE Trans. Circ. Syst. Part II 45(6), 749\u2013753 (1998)","journal-title":"IEEE Trans. Circ. Syst. Part II"},{"key":"1_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/978-3-642-29347-4_2","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2012","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel Realisation of the recurrent multi layer perceptron learning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012. LNCS (LNAI), vol. 7267, pp. 12\u201320. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-29347-4_2"},{"key":"1_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-642-38658-9_3","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2013","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel approach to learning of the recurrent Jordan neural network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013. LNCS (LNAI), vol. 7894, pp. 32\u201340. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38658-9_3"},{"issue":"9","key":"1_CR8","doi-asserted-by":"publisher","first-page":"2561","DOI":"10.1109\/TPDS.2014.2357019","volume":"26","author":"J Bilski","year":"2015","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel architectures for learning the RTRN and Elman dynamic neural network. IEEE Trans. Parall. Distrib. Syst. 26(9), 2561\u20132570 (2015)","journal-title":"IEEE Trans. Parall. Distrib. Syst."},{"key":"1_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/978-3-319-07173-2_2","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2014","unstructured":"Bilski, J., Smol\u0105g, J., Galushkin, A.I.: The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014. LNCS (LNAI), vol. 8467, pp. 12\u201321. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07173-2_2"},{"key":"1_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-19324-3_1","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2015","unstructured":"Bilski, J., Smol\u0105g, J., \u017burada, J.M.: Parallel approach to the levenberg-marquardt learning algorithm for feedforward neural networks. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9119, pp. 3\u201314. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19324-3_1"},{"issue":"4","key":"1_CR11","doi-asserted-by":"publisher","first-page":"287","DOI":"10.2478\/jaiscr-2021-0017","volume":"11","author":"J Bilski","year":"2021","unstructured":"Bilski, J., Kowalczyk, B., Marja\u0144ski, A., Gandor, M., Zurada, J.: A novel fast feedforward neural networks training algorithm. J. Artif. Intell. Soft Comput. Res. 11(4), 287\u2013306 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/978-3-030-87986-0_4","volume-title":"Artificial Intelligence and Soft Computing","author":"J Bilski","year":"2021","unstructured":"Bilski, J., Kowalczyk, B.: A new variant of the GQR algorithm for feedforward neural networks training. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds.) ICAISC 2021. LNCS (LNAI), vol. 12854, pp. 41\u201353. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87986-0_4"},{"issue":"2","key":"1_CR13","doi-asserted-by":"publisher","first-page":"111","DOI":"10.2478\/jaiscr-2021-0008","volume":"11","author":"N Bougueroua","year":"2021","unstructured":"Bougueroua, N., Mazouzi, S., Belaoued, M., Seddari, N., Derhab, A., Bouras, A.: A survey on multi-agent based collaborative intrusion detection systems. J. Artif. Intell. Soft Comput. Res. 11(2), 111\u2013142 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1_CR14","first-page":"2121","volume":"12","author":"J Duchi","year":"2011","unstructured":"Duchi, J., Hazan, E., Singer, Y.: Adaptive subgradient methods for online learning and stochastic optimization. J. Mach. Learn. Res. 12, 2121\u20132159 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"1_CR15","first-page":"357","volume":"24","author":"M Gabryel","year":"2018","unstructured":"Gabryel, M.: The bag-of-words method with different types of image features and dictionary analysis. J. Univers. Comput. Sci. 24(4), 357\u2013371 (2018)","journal-title":"J. Univers. Comput. Sci."},{"issue":"4","key":"1_CR16","doi-asserted-by":"publisher","first-page":"243","DOI":"10.2478\/jaiscr-2020-0016","volume":"10","author":"M Gabryel","year":"2020","unstructured":"Gabryel, M., Grzanek, K., Hayashi, Y.: Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic. J. Artif. Intell. Soft Comput. Res. 10(4), 243\u2013253 (2020)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"1_CR17","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1093\/imamat\/12.3.329","volume":"12","author":"MW Gentleman","year":"1973","unstructured":"Gentleman, M.W.: Least squares computations by givens transformations without square roots. IMA J. Appl. Math. 12(3), 329\u2013336 (1973)","journal-title":"IMA J. Appl. Math."},{"key":"1_CR18","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1137\/0106004","volume":"6","author":"W Givens","year":"1958","unstructured":"Givens, W.: Computation of plain unitary rotations transforming a general matrix to triangular form. J. Soc. Ind. Appl. Math. 6, 26\u201350 (1958)","journal-title":"J. Soc. Ind. Appl. Math."},{"key":"1_CR19","first-page":"989","volume":"5","author":"MT Hagan","year":"1994","unstructured":"Hagan, M.T., Menhaj, M.B.: Training feedforward networks with the marquardt algorithm. IEEE Trans. Neuralnetworks 5, 989\u2013993 (1994)","journal-title":"IEEE Trans. Neuralnetworks"},{"issue":"3","key":"1_CR20","doi-asserted-by":"publisher","first-page":"2599","DOI":"10.3934\/mbe.2021132","volume":"18","author":"I Izonin","year":"2021","unstructured":"Izonin, I., Tkachenko, R., Dronyuk, I., Tkachenko, P., Gregus, M., Rashkevych, M.: Predictive modeling based on small data in clinical medicine: Rbf-based additive input-doubling method. Math. Biosci. Eng. 18(3), 2599\u20132613 (2021)","journal-title":"Math. Biosci. Eng."},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"\u0141apa K., Cpa\u0142ka K., Galushkin A.I.: A new interpretability criteria for neuro-fuzzy systems for nonlinear classification. In: International Conference on Artificial Intelligence and Soft Computing, vol. 9119, pp. 448\u2013468 (2015)","DOI":"10.1007\/978-3-319-19324-3_41"},{"key":"1_CR22","unstructured":"Kie\u0142basi\u0144ski, A., Schwetlick, H.: Numeryczna Algebra Liniowa: Wprowadzenie do Oblicze\u0144 Zautomatyzowanych. Wydawnictwa Naukowo-Techniczne, Warszawa (1992)"},{"key":"1_CR23","unstructured":"Diederik, P.: Kingma and Jimmy Ba. A method for stochastic optimization, Adam (2014)"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Larsen, B.M., et al.: A pan-cancer organoid platform for precision medicine. Cell Rep. 36(4), 109429 (2021)","DOI":"10.1016\/j.celrep.2021.109429"},{"key":"1_CR25","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/978-3-319-19324-3_8","volume-title":"Artificial Intelligence and Soft Computing","author":"C Napoli","year":"2015","unstructured":"Napoli, C., Pappalardo, G., Tramontana, E., Nowicki, R.K., Starczewski, J.T., Wo\u017aniak, M.: Toward work groups classification based on probabilistic neural network approach. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9119, pp. 79\u201389. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19324-3_8"},{"issue":"2","key":"1_CR26","doi-asserted-by":"publisher","first-page":"143","DOI":"10.2478\/jaiscr-2021-0009","volume":"11","author":"T Niksa-Rynkiewicz","year":"2021","unstructured":"Niksa-Rynkiewicz, T., Szewczuk-Krypa, N., Witkowska, A., Cpa\u0142ka, K., Zalasinski, M., Cader, A.: Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network. J. Artif. Intell. Soft Comput. Res. 11(2), 143\u2013155 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1_CR27","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ins.2017.05.049","volume":"414","author":"RK Nowicki","year":"2017","unstructured":"Nowicki, R.K., Starczewski, J.T.: A new method for classification of imprecise data using fuzzy rough fuzzification. Inf. Sci. 414, 33\u201352 (2017)","journal-title":"Inf. Sci."},{"issue":"1","key":"1_CR28","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/jaiscr-2021-0001","volume":"11","author":"JS Rahman","year":"2021","unstructured":"Rahman, J.S., Gedeon, T., Caldwell, S., Jones, R., Jin, Z.: Towards effective music therapy for mental health care using machine learning tools: human affective reasoning and music genres. J. Artif. Intell. Soft Comput. Res. 11(1), 5\u201320 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1_CR29","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","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 (LNAI), vol. 7895, pp. 91\u2013100. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38610-7_9"},{"key":"1_CR30","unstructured":"Werbos, J.: Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Harvard University, Cambridge (1974)"},{"key":"1_CR31","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-319-19369-4_16","volume-title":"Artificial Intelligence and Soft Computing","author":"M Zalasi\u0144ski","year":"2015","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K., Er, M.J.: A new method for the dynamic signature verification based on the stable partitions of the signature. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9120, pp. 161\u2013174. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19369-4_16"},{"key":"1_CR32","unstructured":"Matthew, D.: Zeiler. An adaptive learning rate method, Adadelta (2012)"},{"issue":"4","key":"1_CR33","doi-asserted-by":"publisher","first-page":"255","DOI":"10.2478\/jaiscr-2020-0017","volume":"10","author":"X Zhao","year":"2020","unstructured":"Zhao, X., Song, M., Liu, A., Wang, Y., Wang, T., Cao, J.: Data-driven temporal-spatial model for the prediction of AQI in Nanjing. J. Artif. Intell. Soft Comput. Res. 10(4), 255\u2013270 (2020)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"1","key":"1_CR34","doi-asserted-by":"publisher","first-page":"33","DOI":"10.2478\/jaiscr-2021-0003","volume":"11","author":"J El Zini","year":"2021","unstructured":"El Zini, J., Rizk, Y., Awad, M.: An optimized parallel implementation of non-iteratively trained recurrent neural networks. J. Artif. Intell. Soft Comput. Res. 11(1), 33\u201350 (2021)","journal-title":"J. Artif. Intell. Soft Comput. Res."}],"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\/978-3-031-23492-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T09:07:10Z","timestamp":1675415230000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-23492-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031234910","9783031234927"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-23492-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"24 January 2023","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}