{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:08:39Z","timestamp":1773097719593,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2012,7,8]],"date-time":"2012-07-08T00:00:00Z","timestamp":1341705600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1007\/s00521-012-1017-z","type":"journal-article","created":{"date-parts":[[2012,7,7]],"date-time":"2012-07-07T00:46:24Z","timestamp":1341621984000},"page":"927-936","source":"Crossref","is-referenced-by-count":34,"title":["Prediction of bankruptcy Iranian corporations through artificial neural network and Probit-based analyses"],"prefix":"10.1007","volume":"23","author":[{"given":"Ahmad","family":"Ahmadpour Kasgari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi","family":"Divsalar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamad Reza","family":"Javid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyyed Javad","family":"Ebrahimian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,7,8]]},"reference":[{"key":"1017_CR1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1111\/j.1468-0394.2011.00580.x","volume":"28","author":"M Divsalar","year":"2011","unstructured":"Divsalar M, Firouzabadi AK, Sadeghi M, Behrooz AH (2011) Towards the prediction of business failure via computational intelligence techniques. Expert Syst 28:209\u2013226","journal-title":"Expert Syst"},{"issue":"4","key":"1017_CR2","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1111\/j.1540-6261.1968.tb00843.x","volume":"23","author":"EI Altman","year":"1968","unstructured":"Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Finance 23(4):589\u2013609","journal-title":"J Finance"},{"issue":"1","key":"1017_CR3","doi-asserted-by":"crossref","first-page":"109","DOI":"10.2307\/2490395","volume":"18","author":"J Ohlson","year":"1980","unstructured":"Ohlson J (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1):109\u2013131","journal-title":"J Account Res"},{"key":"1017_CR4","doi-asserted-by":"crossref","unstructured":"Foreman RD (2002) A logistic analysis of bankruptcy within the US local telecommunications industry. J Econ Bus 55(2):135\u2013166","DOI":"10.1016\/S0148-6195(02)00133-9"},{"issue":"1","key":"1017_CR5","first-page":"19","volume":"12","author":"CV Zavgren","year":"1985","unstructured":"Zavgren CV (1985) Assessing the vulnerability to failure of American industrial firms: a logistic analysis. J Bank Finance 12(1):19\u201345","journal-title":"J Bank Finance"},{"key":"1017_CR6","unstructured":"Casey M, Gee Mc, Stinkey C (1986) Discriminating between reorganized and liquidated firms in bankruptcy. Account Rev 61(2):249\u2013262"},{"issue":"5","key":"1017_CR7","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1111\/j.1468-5957.1991.tb00233.x","volume":"18","author":"PT Theodossiou","year":"1991","unstructured":"Theodossiou PT (1991) Alternative models for assessing the financial condition of business in Greece. J Bus Finance Account 18(5):697\u2013720","journal-title":"J Bus Finance Account"},{"key":"1017_CR8","first-page":"170","volume":"1","author":"M Stone","year":"1991","unstructured":"Stone M, Rasp J (1991) Tradeoffs in the choice between Logit and OLS for accounting choice studies. Account Rev 1:170\u2013178","journal-title":"Account Rev"},{"issue":"4","key":"1017_CR9","first-page":"257","volume":"17","author":"AS Vranas","year":"1992","unstructured":"Vranas AS (1992) The significance of financial characteristics in predicting business failure: an analysis in the Greek context. Found Comput Decis Sci 17(4):257\u2013275","journal-title":"Found Comput Decis Sci"},{"key":"1017_CR10","volume-title":"Advances in Computational Intelligence \u2013 Theory and Practice","author":"E Kahya","year":"2002","unstructured":"Kahya E, Theod Schwefel HP, Wegener I, Weinert K (2002) Advances in Computational Intelligence \u2013 Theory and Practice. Springer-Verlag, Berlin"},{"issue":"3","key":"1017_CR11","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/S0957-4174(02)00051-9","volume":"23","author":"K Shin","year":"2002","unstructured":"Shin K, Lee Y (2002) A genetic algorithm application in bankruptcy prediction modeling. Expert Syst Appl 23(3):321\u2013328","journal-title":"Expert Syst Appl"},{"key":"1017_CR12","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1016\/S0378-4266(98)00059-4","volume":"22","author":"F Varetto","year":"1998","unstructured":"Varetto F (1998) Genetic algorithms applications in the analysis of insolvency risk. J Bank Finance 22:1421\u20131439","journal-title":"J Bank Finance"},{"key":"1017_CR13","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1023\/A:1008326706404","volume":"13","author":"P Ossiou","year":"1999","unstructured":"Ossiou P (1999) Predicting corporate financial distress: a time-series CUSUM methodology. Rev Quant Finance Account 13:323\u2013345","journal-title":"Rev Quant Finance Account"},{"issue":"3","key":"1017_CR14","first-page":"225","volume":"23","author":"C Park","year":"2002","unstructured":"Park C, Han I (2002) A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction. Expert Syst Appl 23(3):225\u2013264","journal-title":"Expert Syst Appl"},{"key":"1017_CR15","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/S0377-2217(98)00255-0","volume":"114","author":"AI Dimitras","year":"1999","unstructured":"Dimitras AI, Slowinski R, Susmaga R, Zopounidis C (1999) Business failure prediction using rough sets. Eur J Oper Res 114:263\u2013280","journal-title":"Eur J Oper Res"},{"key":"1017_CR16","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/S0377-2217(01)00130-8","volume":"138","author":"TE McKee","year":"2002","unstructured":"McKee TE, Lensberg T (2002) Genetic programming and rough sets: a hybrid approach to bankruptcy classification. Eur J Oper Res 138:436\u2013451","journal-title":"Eur J Oper Res"},{"key":"1017_CR17","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.eswa.2004.12.008","volume":"28","author":"JH Min","year":"2005","unstructured":"Min JH, Lee YC (2005) Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Syst Appl 28:603\u2013614","journal-title":"Expert Syst Appl"},{"key":"1017_CR18","doi-asserted-by":"crossref","unstructured":"Divsalar M, Roodsaz H, Vahdatinia F, Norouzzadeh G, Behrooz AH (2012) A robust data-mining approach to bankruptcy prediction. J Forecast. doi: 10.1002\/for.1232","DOI":"10.1002\/for.1232"},{"key":"1017_CR19","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/0377-2217(95)00070-4","volume":"90","author":"A Dimitras","year":"1996","unstructured":"Dimitras A, Zanakis I, Zopounidis C (1996) A survey of business failure with an emphasis on prediction methods and industrial application. Eur J Oper Res 90:487\u2013513","journal-title":"Eur J Oper Res"},{"key":"1017_CR20","first-page":"131","volume":"6","author":"FL Jones","year":"1987","unstructured":"Jones FL (1987) Current techniques in bankruptcy prediction. J Account Lit 6:131\u2013164","journal-title":"J Account Lit"},{"issue":"1","key":"1017_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2006.08.043","volume":"180","author":"PR Kumar","year":"2007","unstructured":"Kumar PR, Ravi V (2007) Bankruptcy prediction in banks and firms via statistical and intelligent techniques\u2014a review. Eur J Oper Res 180(1):1\u201328","journal-title":"Eur J Oper Res"},{"key":"1017_CR22","volume-title":"Neural networks: a comprehensive foundation","author":"S Haykins","year":"1999","unstructured":"Haykins S (1999) Neural networks: a comprehensive foundation, 2nd edn. Prentice Hall International Inc., Englewood Cliffs","edition":"2"},{"issue":"2","key":"1017_CR23","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/S0957-4174(97)00011-0","volume":"13","author":"H Jo","year":"1997","unstructured":"Jo H, Han I, Lee H (1997) Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis. Expert Syst Appl 13(2):97\u2013108","journal-title":"Expert Syst Appl"},{"issue":"4","key":"1017_CR24","doi-asserted-by":"crossref","first-page":"7659","DOI":"10.1016\/j.eswa.2008.09.019","volume":"36","author":"N Chauhan","year":"2009","unstructured":"Chauhan N, Ravi V, Chandra DK (2009) Differential evolution trained wavelet neural networks: application to bankruptcy prediction in banks. Expert Syst Appl 36(4):7659\u20137665","journal-title":"Expert Syst Appl"},{"key":"1017_CR25","doi-asserted-by":"crossref","first-page":"1846","DOI":"10.1016\/j.eswa.2009.07.081","volume":"37","author":"FM Tseng","year":"2010","unstructured":"Tseng FM, Hu YC (2010) Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks. Expert Syst Appl 37:1846\u20131853","journal-title":"Expert Syst Appl"},{"issue":"23\u201324","key":"1017_CR26","doi-asserted-by":"crossref","first-page":"2176","DOI":"10.1016\/j.compstruc.2011.08.019","volume":"89","author":"AH Alavi","year":"2011","unstructured":"Alavi AH, Gandomi AH (2011) Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. Comput Struct 89(23\u201324):2176\u20132194","journal-title":"Comput Struct"},{"issue":"3","key":"1017_CR27","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1002\/jpln.200800233","volume":"173","author":"AH Alavi","year":"2010","unstructured":"Alavi AH, Gandomi AH, Mollahasani A, Heshmati AAR, Rashed A (2010) Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks. J Plant Nutr Soil Sci 173(3):368\u2013379","journal-title":"J Plant Nutr Soil Sci"},{"key":"1017_CR28","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"J Cybenko","year":"1989","unstructured":"Cybenko J (1989) Approximations by superpositions of a sigmoidal function. Math Control Signals Syst 2:303\u2013314","journal-title":"Math Control Signals Syst"},{"issue":"3","key":"1017_CR29","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1108\/02644401111118132","volume":"28","author":"AH Alavi","year":"2011","unstructured":"Alavi AH, Gandomi AH (2011) A Robust data mining approach for formulation of geotechnical engineering systems. Eng Comput 28(3):242\u2013274","journal-title":"Eng Comput"},{"key":"1017_CR30","doi-asserted-by":"crossref","unstructured":"Alavi AH, Gandomi AH (2011) Energy-based models for assessment of soil liquefaction. Geosci Front 3(4):541\u2013555","DOI":"10.1016\/j.gsf.2011.12.008"},{"issue":"5","key":"1017_CR31","doi-asserted-by":"crossref","first-page":"6081","DOI":"10.1016\/j.eswa.2010.11.002","volume":"38","author":"MR Mirzahosseini","year":"2011","unstructured":"Mirzahosseini MR, Aghaeifar A, Alavi AH, Gandomi AH, Seyednour M (2011) Permanent deformation analysis of asphalt mixtures using soft computing techniques. Expert Syst Appl 38(5):6081\u20136100","journal-title":"Expert Syst Appl"},{"key":"1017_CR32","unstructured":"Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In Parallel Distributed Processing. MIT Press, Cambridge, MA 1(8): 318\u2013362"},{"key":"1017_CR33","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/S0377-2217(98)00255-0","volume":"114","author":"AI Dimitras","year":"1999","unstructured":"Dimitras AI, Slowinski R, Susmaga R, Zopounidis C (1999) Business failure prediction using rough sets. Eur J Oper Res 114:263\u2013280","journal-title":"Eur J Oper Res"},{"issue":"7","key":"1017_CR34","first-page":"47","volume":"6","author":"GD Garson","year":"1991","unstructured":"Garson GD (1991) Interpreting neural-network connection weights. Artif Intell Expert 6(7):47\u201351","journal-title":"Artif Intell Expert"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-1017-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-1017-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-1017-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,30]],"date-time":"2019-06-30T13:25:32Z","timestamp":1561901132000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-1017-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,7,8]]},"references-count":34,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["1017"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-1017-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,7,8]]}}}