{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T09:08:50Z","timestamp":1780823330180,"version":"3.54.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030378370","type":"print"},{"value":"9783030378387","type":"electronic"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-37838-7_10","type":"book-chapter","created":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T15:02:45Z","timestamp":1577977365000},"page":"105-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil"],"prefix":"10.1007","author":[{"given":"Palash","family":"Pal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rituparna","family":"Datta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepak","family":"Rajbansi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aviv","family":"Segev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,1,3]]},"reference":[{"key":"10_CR1","unstructured":"Brooks, T.F., Pope, D.S., Marcolini, M.A.: Airfoil self-noise and prediction. Technical report, NASA (1989)"},{"issue":"5","key":"10_CR2","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1108\/00022661111159870","volume":"83","author":"Y Cao","year":"2011","unstructured":"Cao, Y., Yuan, K., Li, G.: Effects of ice geometry on airfoil performance using neural networks prediction. Aircr. Eng. Aerosp. Technol. 83(5), 266\u2013274 (2011)","journal-title":"Aircr. Eng. Aerosp. Technol."},{"issue":"11","key":"10_CR3","doi-asserted-by":"publisher","first-page":"2665","DOI":"10.2514\/1.J052344","volume":"51","author":"TP Chong","year":"2013","unstructured":"Chong, T.P., Vathylakis, A., Joseph, P.F., Gruber, M.: Self-noise produced by an airfoil with nonflat plate trailing-edge serrations. AIAA J. 51(11), 2665\u20132677 (2013)","journal-title":"AIAA J."},{"key":"10_CR4","doi-asserted-by":"publisher","DOI":"10.1017\/9781139542418","volume-title":"Introduction to Aircraft Design","author":"JP Fielding","year":"2017","unstructured":"Fielding, J.P.: Introduction to Aircraft Design, vol. 11. Cambridge University Press, Cambridge (2017)"},{"issue":"1\u20132","key":"10_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1023\/A:1009606706736","volume":"6","author":"C Fyfe","year":"1997","unstructured":"Fyfe, C.: A neural network for PCA and beyond. Neural Process. Lett. 6(1\u20132), 33\u201341 (1997)","journal-title":"Neural Process. Lett."},{"key":"10_CR6","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511574481","volume-title":"The Elements of Aerofoil and Airscrew Theory","author":"H Glauert","year":"1983","unstructured":"Glauert, H.: The Elements of Aerofoil and Airscrew Theory. Cambridge University Press, Cambridge (1983)"},{"issue":"7","key":"10_CR7","doi-asserted-by":"publisher","first-page":"407","DOI":"10.2514\/3.58379","volume":"15","author":"RM Hicks","year":"1978","unstructured":"Hicks, R.M., Henne, P.A.: Wing design by numerical optimization. J. Aircr. 15(7), 407\u2013412 (1978)","journal-title":"J. Aircr."},{"issue":"5786","key":"10_CR8","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"issue":"20","key":"10_CR9","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1242\/jeb.203.20.3125","volume":"203","author":"AB Kesel","year":"2000","unstructured":"Kesel, A.B.: Aerodynamic characteristics of dragonfly wing sections compared with technical aerofoils. J. Exp. Biol. 203(20), 3125\u20133135 (2000)","journal-title":"J. Exp. Biol."},{"key":"10_CR10","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511844652","volume-title":"Aircraft Design","author":"AK Kundu","year":"2010","unstructured":"Kundu, A.K.: Aircraft Design, vol. 27. Cambridge University Press, Cambridge (2010)"},{"key":"10_CR11","unstructured":"Lau, K., et al.: A neural networks approach for aerofoil noise prediction. Master thesis (2006)"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"LeGresley, P., Alonso, J.: Airfoil design optimization using reduced order models based on proper orthogonal decomposition. In: Fluids 2000 Conference and Exhibit, p. 2545 (2000)","DOI":"10.2514\/6.2000-2545"},{"issue":"896","key":"10_CR13","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1017\/S000192400001575X","volume":"90","author":"R Lock","year":"1986","unstructured":"Lock, R.: The prediction of the drag of aerofoils and wings at high subsonic speeds. Aeronaut. J. 90(896), 207\u2013226 (1986)","journal-title":"Aeronaut. J."},{"issue":"11","key":"10_CR14","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1002\/nme.2304","volume":"75","author":"R Lopez","year":"2008","unstructured":"Lopez, R., Balsa-Canto, E., O\u00f1ate, E.: Neural networks for variational problems in engineering. Int. J. Numer. Meth. Eng. 75(11), 1341\u20131360 (2008)","journal-title":"Int. J. Numer. Meth. Eng."},{"issue":"5","key":"10_CR15","doi-asserted-by":"publisher","first-page":"053105","DOI":"10.1063\/1.4895528","volume":"6","author":"S Sanaye","year":"2014","unstructured":"Sanaye, S., Hassanzadeh, A.: Multi-objective optimization of airfoil shape for efficiency improvement and noise reduction in small wind turbines. J. Renew. Sustain. Energy 6(5), 053105 (2014)","journal-title":"J. Renew. Sustain. Energy"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1016\/j.proeng.2014.12.445","volume":"97","author":"S Srivastava","year":"2014","unstructured":"Srivastava, S., Roy, A.K., Kumar, K.: Design analysis of mixed flow pump impeller blades using ansys and prediction of its parameters using artificial neural network. Procedia Eng. 97, 2022\u20132031 (2014)","journal-title":"Procedia Eng."},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Vathylakis, A., Paruchuri, C.C., Chong, T.P., Joseph, P.: Sensitivity of aerofoil self-noise reductions to serration flap angles. In: 22nd AIAA\/CEAS Aeroacoustics Conference, p. 2837 (2016)","DOI":"10.2514\/6.2016-2837"},{"issue":"1","key":"10_CR18","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1242\/jeb.90.1.143","volume":"90","author":"PC Withers","year":"1981","unstructured":"Withers, P.C.: An aerodynamic analysis of bird wings as fixed aerofoils. J. Exp. Biol. 90(1), 143\u2013162 (1981)","journal-title":"J. Exp. Biol."},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Wortmann, F.: Progress in the design of low drag aerofoils. In: Boundary Layer and Flow Control, pp. 748\u2013770. Elsevier (1961)","DOI":"10.1016\/B978-1-4832-1323-1.50007-5"}],"container-title":["Communications in Computer and Information Science","Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37838-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T12:27:07Z","timestamp":1695558427000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37838-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030378370","9783030378387"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37838-7_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"3 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FANCCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Fuzzy and Neural Computing Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Maribor","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovenia","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":"10 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fancco2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/fancco2019.org\/","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":"31","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":"3","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":"10% - 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":"3","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":"1.6","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)"}}]}}