{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T03:44:56Z","timestamp":1775274296039,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030042202","type":"print"},{"value":"9783030042219","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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":[[2018]]},"DOI":"10.1007\/978-3-030-04221-9_13","type":"book-chapter","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T07:32:16Z","timestamp":1542353536000},"page":"138-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Financial Data Forecasting Using Optimized Echo State Network"],"prefix":"10.1007","author":[{"given":"Junxiu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiening","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuling","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuemei","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,17]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.cosrev.2009.03.005","volume":"3","author":"H Jaeger","year":"2009","unstructured":"Jaeger, H.: Survey: reservoir computing approaches to recurrent neural network training. Comput. Sci. Rev. 3, 127\u2013149 (2009)","journal-title":"Comput. Sci. Rev."},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.neucom.2014.05.024","volume":"145","author":"H Wang","year":"2014","unstructured":"Wang, H., Yan, X.: Improved simple deterministically constructed cycle reservoir network with sensitive iterative pruning algorithm. Neurocomputing 145, 353\u2013362 (2014)","journal-title":"Neurocomputing"},{"key":"13_CR3","unstructured":"Jaeger, H.: The \u201cecho state\u201d approach to analysing and training recurrent neural networks. Technology GMD Technical report 148, German National Research Center Information, German (2001)"},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1162\/089976602760407955","volume":"14","author":"W Maass","year":"2014","unstructured":"Maass, W., Natschl, T., Markram, H.: Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14, 2531\u20132560 (2014)","journal-title":"Neural Comput."},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Steil, J.J.: Backpropagation-decorrelation: online recurrent learning with O(N) complexity. In: IEEE International Joint Conference on Neural Networks, pp. 843\u2013848 (2004)","DOI":"10.1109\/IJCNN.2004.1380039"},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1109\/TNN.2006.885113","volume":"18","author":"Z Shi","year":"2007","unstructured":"Shi, Z., Han, M.: Support vector echo-state machine for chaotic time series prediction. IEEE Trans. Neural Netw. 18, 359\u2013372 (2007)","journal-title":"IEEE Trans. Neural Netw."},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.neunet.2007.04.006","volume":"20","author":"MD Skowronski","year":"2007","unstructured":"Skowronski, M.D., Harris, J.G.: Automatic speech recognition using a predictive echo state network classifier. Neural Netw. 20, 414\u2013423 (2007)","journal-title":"Neural Netw."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Song, Q., Zhao, X., Feng, Z., An, Y., Song, B.: Hourly electric load forecasting algorithm based on echo state neural network. In: IEEE Control and Decision Conference, pp. 3893\u20133897 (2011)","DOI":"10.1109\/CCDC.2011.5968901"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"An, Y., Zhao, X., Song, Q.: Short-term traffic flow forecasting via echo state neural networks. In: IEEE Seventh International Conference on Natural Computation, pp. 844\u2013847 (2011)","DOI":"10.1109\/ICNC.2011.6022154"},{"key":"13_CR10","unstructured":"Embrechts, M., Alexandre, L., Linton, J.: Reservoir computing for static pattern recognition. In: European Symposium on Artificial Neural Networks, pp. 101\u2013124 (2009)"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Zhai, F., Lin, X., Yang, Z., Song, Y.: Notice of retraction financial time series prediction based on echo state network. In: IEEE Sixth International Conference on Natural Computation, pp. 3983\u20133987 (2010)","DOI":"10.1109\/ICNC.2010.5584802"},{"key":"13_CR12","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1162\/neco.2007.19.1.111","volume":"19","author":"MC Ozturk","year":"2007","unstructured":"Ozturk, M.C., Xu, D.: Analysis and design of echo state networks for function approximation. Neural Comput. 19, 111\u2013138 (2007)","journal-title":"Neural Comput."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"W Pan","year":"2012","unstructured":"Pan, W.: A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl.-Based Syst. 26, 69\u201374 (2012)","journal-title":"Knowl.-Based Syst."},{"key":"13_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/978-3-642-35289-8_36","volume-title":"Neural Networks: Tricks of the Trade","author":"M Luko\u0161evi\u010dius","year":"2012","unstructured":"Luko\u0161evi\u010dius, M.: A practical guide to applying echo state networks. In: Montavon, G., Orr, Genevi\u00e8ve B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 659\u2013686. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35289-8_36"},{"key":"13_CR15","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1007\/s00521-015-1942-8","volume":"27","author":"W Lin","year":"2016","unstructured":"Lin, W.: A novel 3D fruit fly optimization algorithm and its applications in economics. Neural Comput. Appl. 27, 1391\u20131413 (2016)","journal-title":"Neural Comput. Appl."},{"key":"13_CR16","first-page":"93","volume":"31","author":"F Wang","year":"2006","unstructured":"Wang, F.: A hybrid particle swarm algorithm with roulette selection operator. J. Southwest China Norm. Univ. 31, 93\u201396 (2006)","journal-title":"J. Southwest China Norm. Univ."},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Shen, W., Han, Y.: Short term forecasting of Shanghai composite index based on GARCH and data mining technique. In: IEEE Circuits, Communications and System, pp. 63\u201366 (2010)","DOI":"10.1109\/PACCS.2010.5626991"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Phani, B.V., Chandra, B., Raghav, V.: Quest for efficient option pricing prediction model using machine learning techniques. In: International Joint Conference, pp. 654\u2013657 (2011)","DOI":"10.1109\/IJCNN.2011.6033283"},{"key":"13_CR19","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1086\/260062","volume":"81","author":"F Black","year":"2010","unstructured":"Black, F., Scholes, M.: The pricing of options and corporate liabilities. Polit. Econ. 81, 637\u2013654 (2010)","journal-title":"Polit. Econ."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04221-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T02:46:44Z","timestamp":1775270804000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04221-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030042202","9783030042219"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04221-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siem Reap","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/iconip\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"575","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"401","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}