{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T21:12:39Z","timestamp":1757452359596,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031048258"},{"type":"electronic","value":"9783031048265"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-04826-5_52","type":"book-chapter","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T04:05:42Z","timestamp":1652155542000},"page":"521-530","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Can the Price of BTC Bitcoin Be Forecast Successfully with NARX Neural Networks?"],"prefix":"10.1007","author":[{"given":"Carlos","family":"Montenegro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rolando","family":"Armas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,11]]},"reference":[{"key":"52_CR1","doi-asserted-by":"publisher","unstructured":"Awoke, T., Rout, M., Mohanty, L., Satapathy, S.C.: Bitcoin price prediction and analysis using deep learning models. In: Satapathy, S.C., Bhateja, V., Ramakrishna Murty, M., Gia Nhu, N., Kotti, J. (eds.) Communication Software and Networks. LNNS, vol. 134, pp. 631\u2013640. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-5397-4_63","DOI":"10.1007\/978-981-15-5397-4_63"},{"key":"52_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/1742-6596\/1641\/1\/012059","volume":"1641","author":"H Fatah","year":"2020","unstructured":"Fatah, H., Anggraini, R., Supriadi, D., Pertiwi, M., Warnilah, A., Ichsan, N.: Datamining for cryptocurrencies price prediction. J. Phys Conf. Ser. 1641, 1\u20136 (2020)","journal-title":"J. Phys Conf. Ser."},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Rane, P., Dhage, S.: Systematic erudition of bitcoin price prediction using machine learning techniques. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) (2019)","DOI":"10.1109\/ICACCS.2019.8728424"},{"key":"52_CR4","doi-asserted-by":"crossref","unstructured":"Jay, P., Kalariya, V., Parmar, P., Tanwar, S., Kumar, N., Alazab, M.: Stochastic neural networks for cryptocurrency price prediction. IEEE Access 8, 82804\u201382818 (2020)","DOI":"10.1109\/ACCESS.2020.2990659"},{"key":"52_CR5","doi-asserted-by":"crossref","unstructured":"Lakshmi, S., Swadthi, N., Shree, V., Swethamura, M.: Investigation on bitcoin prognosis. In: 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (2021)","DOI":"10.1109\/ICACCS51430.2021.9441794"},{"key":"52_CR6","first-page":"1","volume":"10","author":"Y Li","year":"2020","unstructured":"Li, Y., Zheng, Z., Dai, H.: Enhancing bitcoin price fluctuation prediction usingattentive LSTM and embedding network. Appl. Sci. 10, 1\u201317 (2020)","journal-title":"Appl. Sci."},{"key":"52_CR7","doi-asserted-by":"crossref","unstructured":"Sing, E., Wang, L.: Bitcoin price prediction using ensembles of neural networks. In: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017) (2017)","DOI":"10.1109\/FSKD.2017.8393351"},{"issue":"5","key":"52_CR8","doi-asserted-by":"crossref","first-page":"20","DOI":"10.29121\/ijetmr.v8.i5.2021.953","volume":"8","author":"M Vaidehi","year":"2021","unstructured":"Vaidehi, M., Pandit, A., Jindal, B., Kumari, M., Singh, R.: Bitcoin price predictionusing machine learning. Int. J. Eng. Technol. Manag. Res. 8(5), 20\u201328 (2021)","journal-title":"Int. J. Eng. Technol. Manag. Res."},{"key":"52_CR9","doi-asserted-by":"crossref","unstructured":"Ali, M., Shatabda, S.: A data selection methodology to train linear regression model to predict bitcoin price. In: 2nd ICAICT (2020)","DOI":"10.1109\/ICAICT51780.2020.9333525"},{"key":"52_CR10","doi-asserted-by":"publisher","unstructured":"Akyildirim, E., Cepni, O., Corbet, S., Uddin, G.S.: Forecasting mid-price movement of Bitcoin futures using machine learning. Ann. Oper. Res., 1\u201332 (2021). https:\/\/doi.org\/10.1007\/s10479-021-04205-x","DOI":"10.1007\/s10479-021-04205-x"},{"key":"52_CR11","doi-asserted-by":"crossref","unstructured":"Wu, C., Ma, Y., Lu, C., Lu, R.: A new forecasting framework for bitcoin price with LSTM. In: IEEE International Conference on Data Mining Workshops (ICDMW) (2018)","DOI":"10.1109\/ICDMW.2018.00032"},{"key":"52_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ACCESS.2020.3025211","volume":"8","author":"F Sabry","year":"2020","unstructured":"Sabry, F., Labda, W., Erbad, A., Malluhi, Q.: Cryptocurrencies and artificialintelligence: challenges and opportunities. IEEE Access 8, 1\u201319 (2020)","journal-title":"IEEE Access"},{"key":"52_CR13","doi-asserted-by":"publisher","unstructured":"Pintelas, E., Livieris, I.E., Stavroyiannis, S., Kotsilieris, T., Pintelas, P.: Investigating the problem of cryptocurrency price prediction: a deep learning approach. In: Maglogiannis, I., Iliadis, L., Pimenidis, E. (eds) AIAI 2020. IFIPAICT, vol. 584, pp. 99\u2013110. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-49186-4_9","DOI":"10.1007\/978-3-030-49186-4_9"},{"key":"52_CR14","unstructured":"Yahoo Finance. http:\/\/www.financeyahoo.com. Accessed 1 Sept 2021"},{"key":"52_CR15","doi-asserted-by":"crossref","unstructured":"Phaladisailoed, T., Numnonda, T.: Machine learning models comparison for bitcoin price prediction. In: 10th International Conference on Information Technology and Electrical Engineering (ICITEE) (2018)","DOI":"10.1109\/ICITEED.2018.8534911"},{"key":"52_CR16","doi-asserted-by":"crossref","unstructured":"Han, J., Kim, S., Jang, M., Ri, K.: Using genetic algorithm and NARX neuralnetwork to forecast daily bitcoin price. Comput. Econ., 1\u201317 (2019)","DOI":"10.1007\/s10614-019-09928-5"},{"issue":"3","key":"52_CR17","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","volume":"4","author":"D MacKay","year":"1992","unstructured":"MacKay, D.: Bayesian Interpolation. Neural Comput. 4(3), 415\u2013447 (1992)","journal-title":"Neural Comput."},{"key":"52_CR18","doi-asserted-by":"crossref","unstructured":"Albariqi, R., Winarko, E.: Prediction of bitcoin price change using neural networks. In: International Conference on Smart Technology and Applications (ICoSTA) (2020)","DOI":"10.1109\/ICoSTA48221.2020.1570610936"},{"issue":"5","key":"52_CR19","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/37.158898","volume":"12","author":"E Barnard","year":"1992","unstructured":"Barnard, E., Wessels, L.: Extrapolation and interpolation in neural network classifiers. IEEE Control Syst. Mag. 12(5), 50\u201353 (1992)","journal-title":"IEEE Control Syst. Mag."},{"key":"52_CR20","unstructured":"Haley, P., Soloway, D.: Extrapolation limitations of multilayer feedforward neural networks. In: Proceedings of the International Joint Conference on Neural Networks, Baltimore (1992)"},{"issue":"10","key":"52_CR21","doi-asserted-by":"publisher","first-page":"1694","DOI":"10.1080\/02626667.2017.1349316","volume":"62","author":"A Pektas","year":"2017","unstructured":"Pektas, A., Cigizoglu, H.: Investigating the extrapolation performance of neural network models in suspended sediment data. Hydrol. Sci. J. 62(10), 1694\u20131703 (2017)","journal-title":"Hydrol. Sci. J."},{"issue":"4","key":"52_CR22","doi-asserted-by":"publisher","first-page":"291","DOI":"10.2166\/hydro.2005.0025","volume":"07","author":"P Hettiarachchi","year":"2005","unstructured":"Hettiarachchi, P., Hall, M., Minns, A.: The extrapolation of artificial neural networks for the modeling of rainfall-runoff relationships. J. Hydroinf. 07(4), 291\u2013296 (2005)","journal-title":"J. Hydroinf."},{"key":"52_CR23","unstructured":"Diaconescu, E.: The use of NARX neural networks to predict chaotic time series. WSEAS Trans. Comput. Res. 3(3), 182\u2013191 (2008)"},{"key":"52_CR24","unstructured":"Mathworks, Neural Network Toolbox. User\u2019s Guide. R2014a, The MathWorks Inc. (2014)"}],"container-title":["Lecture Notes in Networks and Systems","Information Systems and Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-04826-5_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T16:09:32Z","timestamp":1671552572000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-04826-5_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031048258","9783031048265"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-04826-5_52","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WorldCIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"World Conference on Information Systems and Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Budva","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montenegro","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":"12 April 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"worldcist2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/worldcist.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}