{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T10:49:43Z","timestamp":1769165383067,"version":"3.49.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2017,6,26]],"date-time":"2017-06-26T00:00:00Z","timestamp":1498435200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s00521-017-3103-8","type":"journal-article","created":{"date-parts":[[2017,6,26]],"date-time":"2017-06-26T07:42:48Z","timestamp":1498462968000},"page":"3617-3627","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["An ANFIS model to prediction of corrosion resistance of coated implant materials"],"prefix":"10.1007","volume":"28","author":[{"given":"Remzi","family":"Tuntas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Burak","family":"Dikici","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,26]]},"reference":[{"key":"3103_CR1","unstructured":"VisionGain (2015) The global medical devices market will reach $398.0 bn in 2017"},{"key":"3103_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-46836-4","author":"B Dikici","year":"2015","unstructured":"Dikici B, Esen Z, Duygulu O, (Koc) SG (2015) Corrosion of metallic biomaterials. Adv Met Biomater Tissues Mater Biol React. doi:\n                        10.1007\/978-3-662-46836-4","journal-title":"Adv Met Biomater Tissues Mater Biol React"},{"key":"3103_CR3","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1007\/s11665-009-9559-7","volume":"19","author":"B Aksakal","year":"2009","unstructured":"Aksakal B, Gavgali M, Dikici B (2009) The effect of coating thickness on corrosion resistance of hydroxyapatite coated Ti6Al4V and 316L SS \u0131mplants. J Mater Eng Perform 19:894\u2013899. doi:\n                        10.1007\/s11665-009-9559-7","journal-title":"J Mater Eng Perform"},{"key":"3103_CR4","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1007\/s10971-012-2813-8","volume":"63","author":"S Sonmez","year":"2012","unstructured":"Sonmez S, Aksakal B, Dikici B (2012) Corrosion protection of AA6061-T4 alloy by sol\u2013gel derived micro and nano-scale hydroxyapatite (HA) coating. J Sol-Gel Sci Technol 63:510\u2013518. doi:\n                        10.1007\/s10971-012-2813-8","journal-title":"J Sol-Gel Sci Technol"},{"key":"3103_CR5","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/0300-9440(95)90005-5","volume":"26","author":"WS Tait","year":"1995","unstructured":"Tait WS (1995) An introduction to electrochemical corrosion testing for practicing engineers and scientists. Prog Org Coat 26:73\u201374. doi:\n                        10.1016\/0300-9440(95)90005-5","journal-title":"Prog Org Coat"},{"key":"3103_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4172\/1662-100X.1000103","volume":"18","author":"G Singh","year":"2013","unstructured":"Singh G, Singh H, Sidhu B (2013) The effect of CaP concentration on corrosion behavior of plasma sprayed hydroxyapatite coating on titanium in simulated body fluid. J Biomim Biomater Tissue Eng 18:1\u20136. doi:\n                        10.4172\/1662-100X.1000103","journal-title":"J Biomim Biomater Tissue Eng"},{"key":"3103_CR7","doi-asserted-by":"publisher","first-page":"1610","DOI":"10.1016\/j.mspro.2014.07.144","volume":"6","author":"MT Mohammed","year":"2014","unstructured":"Mohammed MT, Khan ZA, Siddiquee AN (2014) Surface modifications of titanium materials for developing corrosion behavior in human body environment: a review. Proc Mater Sci 6:1610\u20131618. doi:\n                        10.1016\/j.mspro.2014.07.144","journal-title":"Proc Mater Sci"},{"key":"3103_CR8","unstructured":"(2006) Standard test method for conducting cyclic potentiodynamic polarization measurements to determine the corrosion susceptibility of small \u0131mplant devices"},{"key":"3103_CR9","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"JSR Jang","year":"1993","unstructured":"Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23:665\u2013685. doi:\n                        10.1109\/21.256541","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"3103_CR10","doi-asserted-by":"crossref","unstructured":"Culliere T, Titli A, Corrieu JM (1995) Neuro-fuzzy modeling of nonlinear systems for control purposes. In: International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and the Second international fuzzy engineering symposium, Proceedings of 1995 IEEE International. IEEE, pp 2009\u20132016","DOI":"10.1109\/FUZZY.1995.409954"},{"key":"3103_CR11","first-page":"105","volume":"13","author":"I T\u00fcrkmen","year":"2005","unstructured":"T\u00fcrkmen I, G\u00fcney K (2005) Computation of association probabilities for single target tracking with the use of adaptive neuro-fuzzy inference system. Turk J Electr Eng Comput Sci 13:105\u2013118","journal-title":"Turk J Electr Eng Comput Sci"},{"key":"3103_CR12","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.inpa.2014.04.001","volume":"1","author":"B Khoshnevisan","year":"2014","unstructured":"Khoshnevisan B, Rafiee S, Omid M, Mousazadeh H (2014) Development of an intelligent system based on ANFIS for predicting wheat grain yield on the basis of energy inputs. Inf Process Agric 1:14\u201322. doi:\n                        10.1016\/j.inpa.2014.04.001","journal-title":"Inf Process Agric"},{"key":"3103_CR13","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.ijggc.2016.02.015","volume":"49","author":"MM Ghiasi","year":"2016","unstructured":"Ghiasi MM, Arabloo M, Mohammadi AH, Barghi T (2016) Application of ANFIS soft computing technique in modeling the CO2 capture with MEA, DEA, and TEA aqueous solutions. Int J Greenh Gas Control 49:47\u201354. doi:\n                        10.1016\/j.ijggc.2016.02.015","journal-title":"Int J Greenh Gas Control"},{"key":"3103_CR14","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1016\/j.aei.2015.07.005","volume":"29","author":"H Jiang","year":"2015","unstructured":"Jiang H, Kwong CK, Siu KWM, Liu Y (2015) Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design. Adv Eng Inform 29:727\u2013738. doi:\n                        10.1016\/j.aei.2015.07.005","journal-title":"Adv Eng Inform"},{"key":"3103_CR15","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jastp.2014.12.006","volume":"123","author":"J Piri","year":"2015","unstructured":"Piri J, Kisi O (2015) Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations). J Atmos Sol Terr Phys 123:39\u201347. doi:\n                        10.1016\/j.jastp.2014.12.006","journal-title":"J Atmos Sol Terr Phys"},{"key":"3103_CR16","volume-title":"Neuro-fuzzy and soft computing","author":"JR Jang","year":"1997","unstructured":"Jang JR, Sun C-T, Mizutani E (1997) Neuro-fuzzy and soft computing. Prentice-Hall Inc, USA"},{"key":"3103_CR17","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1109\/5.364486","volume":"83","author":"J-SR Jang","year":"1995","unstructured":"Jang J-SR, Sun Chuen-Tsai (1995) Neuro-fuzzy modeling and control. Proc IEEE 83:378\u2013406. doi:\n                        10.1109\/5.364486","journal-title":"Proc IEEE"},{"key":"3103_CR18","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.renene.2015.04.072","volume":"83","author":"S Amirkhani","year":"2015","unstructured":"Amirkhani S, Nasirivatan S, Kasaeian AB, Hajinezhad A (2015) ANN and ANFIS models to predict the performance of solar chimney power plants. Renew Energy 83:597\u2013607. doi:\n                        10.1016\/j.renene.2015.04.072","journal-title":"Renew Energy"},{"key":"3103_CR19","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1002\/apj.1691","volume":"8","author":"I Noshadi","year":"2013","unstructured":"Noshadi I, Salahi A, Hemmati M et al (2013) Experimental and ANFIS modeling for fouling analysis of oily wastewater treatment using ultrafiltration. Asia-Pac J Chem Eng 8:527\u2013538. doi:\n                        10.1002\/apj.1691","journal-title":"Asia-Pac J Chem Eng"},{"key":"3103_CR20","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.coal.2010.09.011","volume":"85","author":"MT Khorami","year":"2011","unstructured":"Khorami MT, Chelgani SC, Hower JC, Jorjani E (2011) Studies of relationships between Free Swelling Index (FSI) and coal quality by regression and adaptive neuro fuzzy inference system. Int J Coal Geol 85:65\u201371. doi:\n                        10.1016\/j.coal.2010.09.011","journal-title":"Int J Coal Geol"},{"key":"3103_CR21","unstructured":"Abdulshahed A, Longstaff A, Fletcher S, Myers A (2013) Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools. In: Proceedings of 10th international conference and exhibition on Laser Metrology, Machine Tool, CMM and Robot Performance (LAMDAMAP\u201913)"},{"key":"3103_CR22","first-page":"221","volume":"38","author":"H Alimam","year":"2016","unstructured":"Alimam H, Hinnawi M, Pradhan P, Alkassar Y (2016) Tribology in industry ANN & ANFIS models for prediction of abrasive wear of 3105 aluminium alloy with polyurethane coating. Tribol Ind 38:221\u2013228","journal-title":"Tribol Ind"},{"key":"3103_CR23","doi-asserted-by":"publisher","DOI":"10.1002\/maco.201608848","author":"D Mareci","year":"2016","unstructured":"Mareci D, Suditu GD, Chelariu R et al (2016) Prediction of corrosion resistance of some dental metallic materials applying artificial neural networks. Mater Corros. doi:\n                        10.1002\/maco.201608848","journal-title":"Mater Corros"},{"key":"3103_CR24","doi-asserted-by":"publisher","first-page":"4031","DOI":"10.1016\/j.ijleo.2016.01.070","volume":"127","author":"H Sohrabpoor","year":"2016","unstructured":"Sohrabpoor H (2016) Analysis of laser powder deposition parameters: ANFIS modeling and ICA optimization. Opt Int J Light Electron Opt 127:4031\u20134038. doi:\n                        10.1016\/j.ijleo.2016.01.070","journal-title":"Opt Int J Light Electron Opt"},{"key":"3103_CR25","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.measurement.2016.07.077","volume":"94","author":"C Lin","year":"2016","unstructured":"Lin C, Yen S, Su C (2016) Measurement and optimization of atmospheric plasma sprayed CoMoCrSi coatings parameters on Ti-6Al-4V substrates affecting microstructural and properties using hybrid abductor induction mechanism. Measurement 94:157\u2013167. doi:\n                        10.1016\/j.measurement.2016.07.077","journal-title":"Measurement"},{"key":"3103_CR26","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1002\/chin.200912249","volume":"43","author":"Y Dimitriev","year":"2008","unstructured":"Dimitriev Y, Ivanova Y, Iordanova R (2008) History of sol\u2013gel science and technology. Iordanova J Univ Chem Technol Metall 43:181\u2013192. doi:\n                        10.1002\/chin.200912249","journal-title":"Iordanova J Univ Chem Technol Metall"},{"key":"3103_CR27","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1016\/j.nimb.2006.03.144","volume":"249","author":"NR Nen\u00e9","year":"2006","unstructured":"Nen\u00e9 NR, Vieira A, Marques AC et al (2006) Analysis of sol\u2013gel silica\u2013titania films doped with Ag and Er using artificial neural networks. Nucl Instrum Methods Phys Res Sect B Beam Interact Mater Atoms 249:804\u2013807. doi:\n                        10.1016\/j.nimb.2006.03.144","journal-title":"Nucl Instrum Methods Phys Res Sect B Beam Interact Mater Atoms"},{"key":"3103_CR28","first-page":"224","volume":"28","author":"A Y\u00fccel","year":"2010","unstructured":"Y\u00fccel A, G\u00fcneri AF (2010) Application of adaptive neuro fuzzy inference system to supplier selection problem. J Eng Nat Sci 28:224\u2013234","journal-title":"J Eng Nat Sci"},{"key":"3103_CR29","doi-asserted-by":"publisher","first-page":"3053","DOI":"10.1016\/j.corsci.2005.05.043","volume":"47","author":"JR Galvele","year":"2005","unstructured":"Galvele JR (2005) Tafel\u2019s law in pitting corrosion and crevice corrosion susceptibility. Corros Sci 47:3053\u20133067. doi:\n                        10.1016\/j.corsci.2005.05.043","journal-title":"Corros Sci"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3103-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3103-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3103-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T06:19:44Z","timestamp":1507011584000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3103-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,26]]},"references-count":29,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["3103"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3103-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,26]]}}}