{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:11:23Z","timestamp":1743081083028,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811538513"},{"type":"electronic","value":"9789811538520"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-981-15-3852-0_16","type":"book-chapter","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T04:12:34Z","timestamp":1614226354000},"page":"247-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Performance Evaluation of Recurrent Neural Networks for Short-Term Investment Decision in Stock Market"],"prefix":"10.1007","author":[{"given":"Alexandre P.","family":"da Silva","sequence":"first","affiliation":[]},{"given":"Silas S. L.","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"M\u00e1rio W. L.","family":"Moreira","sequence":"additional","affiliation":[]},{"given":"Joel J. P. C.","family":"Rodrigues","sequence":"additional","affiliation":[]},{"given":"Ricardo A. L.","family":"Rab\u00ealo","sequence":"additional","affiliation":[]},{"given":"Kashif","family":"Saleem","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,1]]},"reference":[{"issue":"2","key":"16_CR1","doi-asserted-by":"publisher","first-page":"74","DOI":"10.4018\/IJEHMC.2018040105","volume":"9","author":"J Aidemark","year":"2018","unstructured":"Aidemark J, Asken\u00e4s L (2018) The creation of users: a learning experience in information system development. In J E-Health Med Commun 9(2):74\u201388","journal-title":"In J E-Health Med Commun"},{"key":"16_CR2","unstructured":"Arvidsson P, \u00c5nhed T (2017) Sequence-to-sequence learning of financial time series in algorithmic trading"},{"key":"16_CR3","unstructured":"Boccato L (2013) Novas propostas e aplica\u00e7\u00f5es de redes neurais com estados de eco. Ph.D. thesis, Universidade Estadual de Campinas, Unicamp, SP"},{"issue":"14","key":"16_CR4","doi-asserted-by":"publisher","first-page":"5963","DOI":"10.1016\/j.eswa.2015.03.017","volume":"42","author":"R Cervell\u00f3-Royo","year":"2015","unstructured":"Cervell\u00f3-Royo R, Guijarro F, Michniuk K (2015) Stock market trading rule based on pattern recognition and technical analysis: forecasting the DJIA index with intraday data. Expert Syst Appl 42(14):5963\u20135975","journal-title":"Expert Syst Appl"},{"issue":"3","key":"16_CR5","first-page":"3497","volume":"6","author":"OS Deorukhkar","year":"2019","unstructured":"Deorukhkar OS, Lokhande SH, Nayak VR, Chougule AA (2019) Stock price prediction using combination of LSTM neural networks, ARIMA and sentiment analysis. Int Res J Eng Technol 6(3):3497\u20133503","journal-title":"Int Res J Eng Technol"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Eapen J, Bein D, Verma A (2019) Novel deep learning model with CNN and bi-directional LSTM for improved stock market index prediction. In: 2019 IEEE 9th annual computing and communication workshop and conference (CCWC). IEEE, pp 0264\u20130270","DOI":"10.1109\/CCWC.2019.8666592"},{"issue":"2","key":"16_CR7","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1016\/j.ejor.2017.11.054","volume":"270","author":"T Fischer","year":"2018","unstructured":"Fischer T, Krauss C (2018) Deep learning with long short-term memory networks for financial market predictions. Eur J Oper Res 270(2):654\u2013669","journal-title":"Eur J Oper Res"},{"key":"16_CR8","doi-asserted-by":"publisher","first-page":"24411","DOI":"10.1109\/ACCESS.2018.2830661","volume":"6","author":"WG Hatcher","year":"2018","unstructured":"Hatcher WG, Yu W (2018) A survey of deep learning: platforms, applications and emerging research trends. IEEE Access 6:24411\u201324432","journal-title":"IEEE Access"},{"key":"16_CR9","unstructured":"Haykin S (2001) Neural networks: principles and practice. Bookman"},{"key":"16_CR10","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1016\/j.procs.2018.05.050","volume":"132","author":"M Hiransha","year":"2018","unstructured":"Hiransha M, Ab Gopalakrishnan E, Menon VK, Soman KP (2018) NSE stock market prediction using deep-learning models. Procedia Comput Sci 132:1351\u20131362","journal-title":"Procedia Comput Sci"},{"key":"16_CR11","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.eswa.2018.03.002","volume":"103","author":"HY Kim","year":"2018","unstructured":"Kim HY, Won CH (2018) Forecasting the volatility of stock price index: a hybrid model integrating LSTM with multiple GARCH-type models. Expert Syst Appl 103:25\u201337","journal-title":"Expert Syst Appl"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Liu S, Liao G, Ding Y (2018) Stock transaction prediction modeling and analysis based on LSTM. In: 13th IEEE conference on industrial electronics and applications (ICIEA), May 31\u2013June 2, Wuhan, China. IEEE, pp 2787\u20132790","DOI":"10.1109\/ICIEA.2018.8398183"},{"key":"16_CR13","volume-title":"Machine learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell TM (1997) Machine learning. McGraw Hill, Burr Ridge, IL"},{"key":"16_CR14","unstructured":"Pang X, Zhou Y, Wang P et al (2018) An innovative neural network approach for stock market prediction. J Supercomput (in press):1\u201321"},{"key":"16_CR15","unstructured":"Patterson J, Gibson A (2017) Deep learning: a practitioner\u2019s approach. O\u2019Reilly Media, Inc"},{"key":"16_CR16","unstructured":"Pawar K, Jalem RS, Tiwari V (2018) Stock market price prediction using LSTM RNN. Springer, Singapore, pp 493\u2013503"},{"key":"16_CR17","doi-asserted-by":"crossref","unstructured":"Pawar K, Jalem RS, Tiwari V (2019) Stock market price prediction using LSTM RNN. In: Emerging trends in expert applications and security. Springer, pp 493\u2013503","DOI":"10.1007\/978-981-13-2285-3_58"},{"key":"16_CR18","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A et al (2011) Scikit-learn: machine learning in python. J Mach Learn Res 12:2825\u20132830","journal-title":"J Mach Learn Res"},{"issue":"10","key":"16_CR19","first-page":"1033","volume":"5","author":"VK Sai Reddy","year":"2018","unstructured":"Sai Reddy VK (2018) Stock market prediction using machine learning. Int Res J Eng Technol (IRJET) 5(10):1033\u20131035","journal-title":"Int Res J Eng Technol (IRJET)"},{"issue":"2","key":"16_CR20","doi-asserted-by":"publisher","first-page":"113","DOI":"10.5335\/rbca.v8i2.5638","volume":"8","author":"CC Thiele","year":"2016","unstructured":"Thiele CC, Adami AG (2016) Previs\u00e3o de s\u00e9ries temporais financeiras: modelo baseado em redes neurais artificiais. Revista Brasileira de Computa\u00e7\u00e3o Aplicada 8(2):113\u2013128","journal-title":"Revista Brasileira de Computa\u00e7\u00e3o Aplicada"},{"key":"16_CR21","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.procs.2019.01.256","volume":"147","author":"K Zhang","year":"2019","unstructured":"Zhang K, Zhong G, Dong J, Wang S, Wang Yong (2019) Stock market prediction based on generative adversarial network. Procedia Comput Sci 147:400\u2013406","journal-title":"Procedia Comput Sci"}],"container-title":["Lecture Notes in Networks and Systems","Applied Soft Computing and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3852-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T04:16:32Z","timestamp":1614226592000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3852-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811538513","9789811538520"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3852-0_16","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Communication and Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trivandrum","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acn2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.acn-conference.org\/2019\/content\/call-papers","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}