{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:47:52Z","timestamp":1775144872974,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819512324","type":"print"},{"value":"9789819512331","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-1233-1_17","type":"book-chapter","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:05:15Z","timestamp":1755842715000},"page":"182-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Prediction of Ion Cluster Center-Of-Mass Motion Trajectories Based on Multiple Echo State Network Framework"],"prefix":"10.1007","author":[{"given":"Shang","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghui","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongji","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,19]]},"reference":[{"issue":"28","key":"17_CR1","doi-asserted-by":"publisher","first-page":"10908","DOI":"10.1039\/D4SC01491J","volume":"15","author":"S Bi","year":"2024","unstructured":"Bi, S., Salanne, M.: Cluster analysis as a tool for quantifying structure-transport properties in simulations of superconcentrated electrolyte. Chem. Sci. 15(28), 10908\u201310917 (2024)","journal-title":"Chem. Sci."},{"issue":"23","key":"17_CR2","doi-asserted-by":"publisher","first-page":"10324","DOI":"10.1007\/s10853-024-09804-0","volume":"59","author":"J Zhu","year":"2024","unstructured":"Zhu, J., et al.: Nanostructure evolution and surface modification mechanism of Cr ion-implanted single-crystal iron: insights from molecular dynamics simulations. J. Mater. Sci. 59(23), 10324\u201310346 (2024)","journal-title":"J. Mater. Sci."},{"issue":"5","key":"17_CR3","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1557\/jmr.2011.426","volume":"7","author":"GH Takaoka","year":"2012","unstructured":"Takaoka, G.H., Ryuto, H., Takeuchi, M.: Surface irradiation and materials processing using polyatomic cluster ion beams. J. Mater. Res. 7(5), 806\u2013821 (2012)","journal-title":"J. Mater. Res."},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Zhao, L., et al.: Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers. npj Quantum Information 9(1), 60 (2023)","DOI":"10.1038\/s41534-023-00730-8"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Allen, M.P., Tildesley, D.J.: Computer simulation of liquids. Oxford University Press (2017)","DOI":"10.1093\/oso\/9780198803195.001.0001"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Rapaport, D.C.: The art of molecular dynamics simulation. Cambridge University Press (2004)","DOI":"10.1017\/CBO9780511816581"},{"key":"17_CR7","unstructured":"Box, G.E., Jenkins, G.M., Reinsel, G.C., Ljung, G.M.: Time Series Analysis: Forecasting and Control. John Wiley & Sons (2015)"},{"key":"17_CR8","unstructured":"Goodfellow, I.: Deep learning. ed: MIT press (2016)"},{"issue":"1","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s44267-024-00065-8","volume":"2","author":"X Tu","year":"2024","unstructured":"Tu, X., He, Z., Huang, Y., Zhang, Z.-H., Yang, M., Zhao, J.: An overview of large AI models and their applications. Visual Intell. 2(1), 1 (2024)","journal-title":"Visual Intell."},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"92306","DOI":"10.1109\/ACCESS.2024.3422528","volume":"12","author":"W Li","year":"2024","unstructured":"Li, W., Law, K.L.E.: Deep learning models for time series forecasting: a review. IEEE Access 12, 92306\u201392327 (2024)","journal-title":"IEEE Access"},{"issue":"1","key":"17_CR11","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.asr.2024.03.050","volume":"74","author":"J Tang","year":"2024","unstructured":"Tang, J., Liu, C., Yang, D., Ding, M.: Prediction of ionospheric TEC using a GRU mechanism method. Adv. Space Res. 74(1), 260\u2013270 (2024)","journal-title":"Adv. Space Res."},{"issue":"34","key":"17_CR12","first-page":"13","volume":"148","author":"H Jaeger","year":"2001","unstructured":"Jaeger, H.: The \u201cecho state\u201d approach to analysing and training recurrent neural networks-with an erratum note. Bonn, Germany: German Nation. Res. Center Inf. Technol. Gmd Tech. Report 148(34), 13 (2001)","journal-title":"Bonn, Germany: German Nation. Res. Center Inf. Technol. Gmd Tech. Report"},{"issue":"7","key":"17_CR13","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"issue":"8","key":"17_CR14","doi-asserted-by":"publisher","first-page":"2554","DOI":"10.1073\/pnas.79.8.2554","volume":"79","author":"JJ Hopfield","year":"1982","unstructured":"Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. 79(8), 2554\u20132558 (1982)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"1","key":"17_CR15","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1109\/TAI.2022.3225780","volume":"5","author":"C Sun","year":"2024","unstructured":"Sun, C., Song, M., Cai, D., Zhang, B., Hong, S., Li, H.: A systematic review of echo state networks from design to application. IEEE Trans. Artifi. Intell. 5(1), 23\u201337 (2024)","journal-title":"IEEE Trans. Artifi. Intell."},{"key":"17_CR16","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.neucom.2022.03.054","volume":"491","author":"Y Li","year":"2022","unstructured":"Li, Y., Li, Y.: Predicting chaotic time series and replicating chaotic attractors based on two novel echo state network models. Neurocomputing 491, 321\u2013332 (2022)","journal-title":"Neurocomputing"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Hilborn, R.C.: Chaos and Nonlinear Dynamics: an Introduction for Scientists and Engineers. Oxford University Press (2000)","DOI":"10.1093\/acprof:oso\/9780198507239.001.0001"},{"issue":"8","key":"17_CR18","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","volume":"31","author":"AK Jain","year":"2010","unstructured":"Jain, A.K.: Data clustering: 50 years beyond K-means. Patt. Recogn. Lett. 31(8), 651\u2013666 (2010)","journal-title":"Patt. Recogn. Lett."}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-1233-1_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T14:50:12Z","timestamp":1775141412000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-1233-1_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,19]]},"ISBN":["9789819512324","9789819512331"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-1233-1_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,19]]},"assertion":[{"value":"19 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISNN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhangye","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isnn2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/isnn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}