{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:16:52Z","timestamp":1742944612567,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642223709"},{"type":"electronic","value":"9783642223716"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-22371-6_34","type":"book-chapter","created":{"date-parts":[[2011,7,4]],"date-time":"2011-07-04T09:03:50Z","timestamp":1309770230000},"page":"395-405","source":"Crossref","is-referenced-by-count":5,"title":["Immune Approach for Neuro-Fuzzy Systems Learning Using Multiantibody Model"],"prefix":"10.1007","author":[{"given":"Nikolay","family":"Korablev","sequence":"first","affiliation":[]},{"given":"Irina","family":"Sorokina","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"volume-title":"Artificial Immune Systems and Their Applications","year":"1999","key":"34_CR1","unstructured":"Dasgupta, D. (ed.): Artificial Immune Systems and Their Applications. Springer, Heidelberg (1999)"},{"key":"34_CR2","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-662-06369-9_4","volume-title":"Computation in Cells and Tissues: Perspectives and Tools for Thought, Natural Computation Series","author":"J.I. Timmis","year":"2004","unstructured":"Timmis, J.I., Knight, T., De Castro, L.N., Hart, E.: An Overview of Artificial Immune Systems. In: Computation in Cells and Tissues: Perspectives and Tools for Thought. Natural Computation Series, pp. 51\u201386. Springer, Heidelberg (2004)"},{"key":"34_CR3","first-page":"231","volume-title":"Data Mining: A Heuristic Approach","author":"L.N. Castro De","year":"2001","unstructured":"De Castro, L.N., Von Zuben, F.J.: AiNet: An Artificial Immune Network for Data Analysis. In: Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A Heuristic Approach, ch. XII pp. 231\u2013259. Idea Group Publishing, USA (2001)"},{"issue":"3","key":"34_CR4","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"L.N. Castro De","year":"2002","unstructured":"De Castro, L.N., Von Zuben, F.J.: Learning and optimization using the clonal selection principle. IEEE Trans. Evolut. Comput.\u00a06(3), 239\u2013251 (2002)","journal-title":"IEEE Trans. Evolut. Comput."},{"key":"34_CR5","unstructured":"De Castro, L.N., Von Zuben, F.J.: The Clonal Selection Algorithm with Engineering Applications. In: Proceedings of GECCO 2000, Workshop on Artificial Immune Systems and Their Applications, pp. 36\u201337 (2000)"},{"key":"34_CR6","unstructured":"Korablyov, N.M., Ovcharenko, I.V.: Adaptation of fuzzy inference models using artificial immune systems. In: 3-rd International Conference Advanced Computer Systems and Networks: Design and Application, Lviv, pp. 89\u201391 (2007)"},{"key":"34_CR7","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J.-S.R. Jang","year":"1993","unstructured":"Jang, J.-S.R.: ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Trans. Systems & Cybernetics\u00a023, 665\u2013685 (1993)","journal-title":"IEEE Trans. Systems & Cybernetics"},{"key":"34_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/11536444_36","volume-title":"Artificial Immune Systems","author":"P.A.D. Castro","year":"2005","unstructured":"Castro, P.A.D., Coelho, G.P., Caetano, M.F., Von Zuben, F.J.: Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol.\u00a03627, pp. 469\u2013482. Springer, Heidelberg (2005)"},{"key":"34_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/BFb0014816","volume-title":"Evolutionary Programming VI","author":"M. Sebag","year":"1997","unstructured":"Sebag, M., Schoenauer, M., Ravise, C.: Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization. In: Angeline, P.J., McDonnell, J.R., Reynolds, R.G., Eberhart, R. (eds.) EP 1997. LNCS, vol.\u00a01213, pp. 247\u2013261. Springer, Heidelberg (1997)"}],"container-title":["Lecture Notes in Computer Science","Artificial Immune Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22371-6_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T18:29:25Z","timestamp":1553884165000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22371-6_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642223709","9783642223716"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22371-6_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}