{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T05:21:23Z","timestamp":1761110483672,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030198091"},{"type":"electronic","value":"9783030198107"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-19810-7_24","type":"book-chapter","created":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T10:01:20Z","timestamp":1557136880000},"page":"243-252","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Machine Failure Prediction Technique Using Recurrent Neural Network Long Short-Term Memory-Particle Swarm Optimization Algorithm"],"prefix":"10.1007","author":[{"given":"Noor Adilah","family":"Rashid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Izzatdin","family":"Abdul Aziz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohd Hilmi B.","family":"Hasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,5]]},"reference":[{"key":"24_CR1","unstructured":"National Instruments: The Cost of Oil and Gas Equipment Mismanagement (2015). \n                  http:\/\/www.ni.com\/white-paper\/52604\/en\/\n                  \n                . Accessed 1 Oct 2018"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Nadai, N., Melani, A.H., Souza, G.F., Nabeta, S.I.: Equipment failure prediction based on neural network analysis incorporating maintainers inspection findings. In: 2017 Annual Reliability and Maintainability Symposium (RAMS), p. 7 (2017)","DOI":"10.1109\/RAM.2017.7889684"},{"issue":"1","key":"24_CR3","doi-asserted-by":"publisher","first-page":"011008","DOI":"10.1115\/1.4003188","volume":"133","author":"A Kusiak","year":"2011","unstructured":"Kusiak, A., Verma, A.: Prediction of status patterns of wind turbines: a data-mining approach. J. Sol. Energy Eng. 133(1), 011008 (2011). \n                  https:\/\/doi.org\/10.1115\/1.4003188","journal-title":"J. Sol. Energy Eng."},{"key":"24_CR4","unstructured":"Sayad, D.S.: An introduction to data science (2010). \n                  https:\/\/www.saedsayad.com\/decision_tree.html"},{"key":"24_CR5","volume-title":"Data Mining With Decision Trees: Theory and Applications","author":"L Rokach","year":"2015","unstructured":"Rokach, L., Maimon, O.: Data Mining With Decision Trees: Theory and Applications. World Scientific Publishing Co. Pte. Ltd., Singapore (2015)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Cutler, A., Cutler, D.R., Stevens, J.R.: Random forests. In: Ensemble Machine Learning, pp. 157\u2013175. Springer (2012)","DOI":"10.1007\/978-1-4419-9326-7_5"},{"key":"24_CR7","doi-asserted-by":"publisher","DOI":"10.1201\/9781420049176","volume-title":"Recurrent Neural Networks: Design and Applications","author":"L Medsker","year":"1999","unstructured":"Medsker, L., Jain, L.C.: Recurrent Neural Networks: Design and Applications. CRC Press, Boca Raton (1999)"},{"key":"24_CR8","unstructured":"Skymind: A Beginner\u2019s Guide to LSTMs and Recurrent Neural Networks. \n                  https:\/\/skymind.ai\/wiki\/lstm\n                  \n                . Accessed 5 Oct 2018"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Hochreiter, S., Schmidhuber, J.J.N.: Long short-term memory. 9(8) 1735\u20131780 (1997)","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"24_CR10","unstructured":"Kohli, S., Miglani, S., Rapariya, R.: Basics of Artificial Neural Network (2014)"},{"key":"24_CR11","unstructured":"Brownlee, J.: When to use MLP, CNN, and RNN neural networks (2018). \n                  https:\/\/machinelearningmastery.com\/when-to-use-mlp-cnn-and-rnn-neural-networks\/\n                  \n                . Accessed 5 Oct 2018"},{"issue":"5","key":"24_CR12","first-page":"2206","volume":"7","author":"A Bhandare","year":"2016","unstructured":"Bhandare, A., et al.: Applications of convolutional neural networks. (IJCSIT) Int. J. Comput. Sci. Inf. Technol. 7(5), 2206\u20132215 (2016)","journal-title":"(IJCSIT) Int. J. Comput. Sci. Inf. Technol."},{"key":"24_CR13","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks IV (1995)"},{"issue":"3","key":"24_CR14","doi-asserted-by":"publisher","first-page":"215","DOI":"10.7232\/iems.2012.11.3.215","volume":"11","author":"V Kachitvichyanukul","year":"2012","unstructured":"Kachitvichyanukul, V.: Comparison of three evolutionary algorithms: GA, PSO, and DE. Ind. Eng. Manage. Syst. 11(3), 215\u2013223 (2012). \n                  http:\/\/dx.doi.org\/10.7232\/iems.2012.11.3.215","journal-title":"Ind. Eng. Manage. Syst."},{"key":"24_CR15","unstructured":"IRIDIA \u2013 Technical Report Series ISSN 1781-3794. Published by: IRIDIA, Institut de Recherches Interdisciplinaireset de D\u00e9veloppements en Intelligence Artificielle Universit\u00e9 Libre de Bruxelles Av F. D. Roosevelt 50, CP 194\/61050 Bruxelles, Belgium. Technical report number TR\/IRIDIA\/2006-010"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Raja, V.S., Rajagopalan, S.: A comparative analysis of optimization techniques for artificial neural network in bio medical applications (2014)","DOI":"10.3844\/jcssp.2014.106.114"},{"issue":"4","key":"24_CR17","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.plrev.2005.10.001","volume":"2","author":"C Blum","year":"2005","unstructured":"Blum, C.: Ant colony optimization: introduction and recent trends. Elsevier Phys. Life Rev. 2(4), 353\u2013373 (2005). \n                  https:\/\/doi.org\/10.1016\/j.plrev.2005.10.001","journal-title":"Elsevier Phys. Life Rev."}],"container-title":["Advances in Intelligent Systems and Computing","Artificial Intelligence Methods in Intelligent Algorithms"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19810-7_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T03:58:17Z","timestamp":1558151897000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19810-7_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030198091","9783030198107"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19810-7_24","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSOC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Science On-line Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zlin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","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":"24 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csolc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csoc.openpublish.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}