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Volumn 44, Issue , 2016, Pages 144-152

Financial distress prediction using the hybrid associative memory with translation

Author keywords

Associative memory; Bankruptcy; Credit risk; Financial distress; Neural network

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; DECISION MAKING; FINANCE; FORECASTING; NETWORK ARCHITECTURE; NEURAL NETWORKS; REGRESSION ANALYSIS; RISK ASSESSMENT;

EID: 84963805125     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.04.005     Document Type: Article
Times cited : (72)

References (81)
  • 1
    • 45049088395 scopus 로고    scopus 로고
    • Neural nets versus conventional techniques in credit scoring in Egyptian banking
    • H. Abdou, J. Pointon, and A. El-Masry Neural nets versus conventional techniques in credit scoring in Egyptian banking Expert Syst. Appl. 35 2008 1275 1292
    • (2008) Expert Syst. Appl. , vol.35 , pp. 1275-1292
    • Abdou, H.1    Pointon, J.2    El-Masry, A.3
  • 6
    • 41149115573 scopus 로고    scopus 로고
    • Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
    • E. Alfaro, N. García, M. Gámez, and D. Elizondo Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks Decis. Support Syst. 45 2008 110 122
    • (2008) Decis. Support Syst. , vol.45 , pp. 110-122
    • Alfaro, E.1    García, N.2    Gámez, M.3    Elizondo, D.4
  • 7
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy
    • E. Altman Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy J. Financ. 23 1968 589 609
    • (1968) J. Financ. , vol.23 , pp. 589-609
    • Altman, E.1
  • 8
    • 0011283878 scopus 로고
    • A simple neural network generating an interactive memory
    • J.A. Anderson A simple neural network generating an interactive memory Math. Biosci. 14 1972 197 220
    • (1972) Math. Biosci. , vol.14 , pp. 197-220
    • Anderson, J.A.1
  • 9
    • 53549120899 scopus 로고    scopus 로고
    • A neural network approach for credit risk evaluation
    • E. Angelini, G. di Tollo, and A. Roli A neural network approach for credit risk evaluation Q. Rev. Econ. Financ. 48 2008 733 755
    • (2008) Q. Rev. Econ. Financ. , vol.48 , pp. 733-755
    • Angelini, E.1    Di Tollo, G.2    Roli, A.3
  • 10
    • 0035391093 scopus 로고    scopus 로고
    • Bankruptcy prediction for credit risk using neural networks: A survey and new results
    • A.F. Atiya Bankruptcy prediction for credit risk using neural networks: a survey and new results IEEE Trans. Neural Netw. 12 2001 929 935
    • (2001) IEEE Trans. Neural Netw. , vol.12 , pp. 929-935
    • Atiya, A.F.1
  • 15
    • 33748463786 scopus 로고    scopus 로고
    • A comparison of neural network, statistical methods, and variable choice for life insurers' financial distress prediction
    • P.L. Brockett, L.L. Golden, J. Jang, and C.C. Yang A comparison of neural network, statistical methods, and variable choice for life insurers' financial distress prediction J. Risk Insur. 73 2006 397 419
    • (2006) J. Risk Insur. , vol.73 , pp. 397-419
    • Brockett, P.L.1    Golden, L.L.2    Jang, J.3    Yang, C.C.4
  • 16
    • 80255133264 scopus 로고    scopus 로고
    • An experimental comparison of classification algorithms for imbalanced credit scoring data sets
    • I. Brown, and C. Mues An experimental comparison of classification algorithms for imbalanced credit scoring data sets Expert Syst. Appl. 39 2012 3446 3453
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3446-3453
    • Brown, I.1    Mues, C.2
  • 17
    • 0031144016 scopus 로고    scopus 로고
    • Lithology determination from well logs with fuzzy associative memory neural network
    • H.C. Chang, H.C. Chen, and J.H. Fang Lithology determination from well logs with fuzzy associative memory neural network IEEE Trans. Geosci. Remote Sens. 35 1997 773 780
    • (1997) IEEE Trans. Geosci. Remote Sens. , vol.35 , pp. 773-780
    • Chang, H.C.1    Chen, H.C.2    Fang, J.H.3
  • 19
    • 56349100536 scopus 로고    scopus 로고
    • Using neural networks and data mining techniques for the financial distress prediction model
    • W.S. Chen, and Y.K. Du Using neural networks and data mining techniques for the financial distress prediction model Expert Syst. Appl. 36 2009 4075 4086
    • (2009) Expert Syst. Appl. , vol.36 , pp. 4075-4086
    • Chen, W.S.1    Du, Y.K.2
  • 20
    • 33646580038 scopus 로고    scopus 로고
    • Financial distress prediction by a radial basis function network with logit analysis learning
    • C.B. Cheng, C.L. Chen, and C.J. Fu Financial distress prediction by a radial basis function network with logit analysis learning Comput. Math. Appl. 51 2006 579 588
    • (2006) Comput. Math. Appl. , vol.51 , pp. 579-588
    • Cheng, C.B.1    Chen, C.L.2    Fu, C.J.3
  • 21
    • 56349109114 scopus 로고    scopus 로고
    • Constructing a reassigning credit scoring model
    • C.L. Chuang, and R.H. Lin Constructing a reassigning credit scoring model Expert Syst. Appl. 36 2009 1685 1694
    • (2009) Expert Syst. Appl. , vol.36 , pp. 1685-1694
    • Chuang, C.L.1    Lin, R.H.2
  • 22
    • 0030291564 scopus 로고    scopus 로고
    • A comparison of neural networks and linear scoring models in the credit union environment
    • V.S. Desai, J.N. Crook, and G.A. Overstreet Jr. A comparison of neural networks and linear scoring models in the credit union environment Eur. J. Oper. Res. 95 1996 24 37
    • (1996) Eur. J. Oper. Res. , vol.95 , pp. 24-37
    • Desai, V.S.1    Crook, J.N.2    Overstreet, G.A.3
  • 23
    • 38649138750 scopus 로고    scopus 로고
    • Forecasting financial condition of Chinese listed companies based on support vector machine
    • Y. Ding, X. Song, and Y. Zen Forecasting financial condition of Chinese listed companies based on support vector machine Expert Syst. Appl. 34 2008 3081 3089
    • (2008) Expert Syst. Appl. , vol.34 , pp. 3081-3089
    • Ding, Y.1    Song, X.2    Zen, Y.3
  • 24
    • 84882706559 scopus 로고    scopus 로고
    • Prediction of bankruptcy using support vector machines: An application to bank bankruptcy
    • B.E. Erdogan Prediction of bankruptcy using support vector machines: an application to bank bankruptcy J. Stat. Comput. Simul. 83 2013 1543 1555
    • (2013) J. Stat. Comput. Simul. , vol.83 , pp. 1543-1555
    • Erdogan, B.E.1
  • 26
    • 84925484561 scopus 로고    scopus 로고
    • An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
    • V. García, A.I. Marqués, and J.S. Sánchez An insight into the experimental design for credit risk and corporate bankruptcy prediction systems J. Intell. Inf. Syst. 44 2015 159 189
    • (2015) J. Intell. Inf. Syst. , vol.44 , pp. 159-189
    • García, V.1    Marqués, A.I.2    Sánchez, J.S.3
  • 28
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc. Natl. Acad. Sci. U. S. A. 79 1982 2554 2558
    • (1982) Proc. Natl. Acad. Sci. U. S. A. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 29
    • 17844388095 scopus 로고    scopus 로고
    • Hybrid mining approach in the design of credit scoring models
    • N.C. Hsieh Hybrid mining approach in the design of credit scoring models Expert Syst. Appl. 28 2005 655 665
    • (2005) Expert Syst. Appl. , vol.28 , pp. 655-665
    • Hsieh, N.C.1
  • 30
    • 58349100252 scopus 로고    scopus 로고
    • A selective ensemble based on expected probabilities for bankruptcy prediction
    • C. Hung, and J.H. Chen A selective ensemble based on expected probabilities for bankruptcy prediction Expert Syst. Appl. 36 2009 5297 5303
    • (2009) Expert Syst. Appl. , vol.36 , pp. 5297-5303
    • Hung, C.1    Chen, J.H.2
  • 32
    • 84963826711 scopus 로고    scopus 로고
    • Efficient frequent pattern mining using auto-associative memory neural network
    • S. Itkar, and U. Kulkarni Efficient frequent pattern mining using auto-associative memory neural network Br. J. Appl. Sci. Technol. 4 2014 3160 3178
    • (2014) Br. J. Appl. Sci. Technol. , vol.4 , pp. 3160-3178
    • Itkar, S.1    Kulkarni, U.2
  • 34
    • 84978600970 scopus 로고
    • Multivariate normality and forecasting of business bankruptcy
    • G.V. Karels, and A.J. Prakash Multivariate normality and forecasting of business bankruptcy J. Bus. Financ. Account. 14 1987 573 593
    • (1987) J. Bus. Financ. Account. , vol.14 , pp. 573-593
    • Karels, G.V.1    Prakash, A.J.2
  • 35
    • 84881007652 scopus 로고    scopus 로고
    • A bi-level neural-based fuzzy classification approach for credit scoring problems
    • M. Khashei, M.T. Rezvan, A.Z. Hamadani, and M. Bijari A bi-level neural-based fuzzy classification approach for credit scoring problems Complexity 18 2013 46 57
    • (2013) Complexity , vol.18 , pp. 46-57
    • Khashei, M.1    Rezvan, M.T.2    Hamadani, A.Z.3    Bijari, M.4
  • 36
    • 78649516309 scopus 로고    scopus 로고
    • Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes
    • A. Khashman Neural networks for credit risk evaluation: investigation of different neural models and learning schemes Expert Syst. Appl. 37 2010 6233 6239
    • (2010) Expert Syst. Appl. , vol.37 , pp. 6233-6239
    • Khashman, A.1
  • 37
    • 80053571498 scopus 로고    scopus 로고
    • Credit risk evaluation using neural networks: Emotional versus conventional models
    • A. Khashman Credit risk evaluation using neural networks: emotional versus conventional models Appl. Soft Comput. 11 2011 5477 5484
    • (2011) Appl. Soft Comput. , vol.11 , pp. 5477-5484
    • Khashman, A.1
  • 38
    • 0015331348 scopus 로고
    • Correlation matrix memories
    • T. Kohonen Correlation matrix memories IEEE Trans. Comput. C-21 1972 353 359
    • (1972) IEEE Trans. Comput. , vol.C21 , pp. 353-359
    • Kohonen, T.1
  • 40
    • 0015640296 scopus 로고
    • Representation of associated data by matrix operator
    • T. Kohonen, and M. Ruohonen Representation of associated data by matrix operator IEEE Trans. Comput. C-22 1973 701 702
    • (1973) IEEE Trans. Comput. , vol.C22 , pp. 701-702
    • Kohonen, T.1    Ruohonen, M.2
  • 41
    • 0023491172 scopus 로고
    • Adaptive bidirectional associative memories
    • B. Kosko Adaptive bidirectional associative memories Appl. Opt. 26 1987 4947 4960
    • (1987) Appl. Opt. , vol.26 , pp. 4947-4960
    • Kosko, B.1
  • 43
    • 0029358380 scopus 로고
    • A neural network for classifying the financial health of a firm
    • R.C. Lacher, P.K. Coats, S.C. Sharma, and L.F. Fant A neural network for classifying the financial health of a firm Eur. J. Oper. Res. 85 1995 53 65
    • (1995) Eur. J. Oper. Res. , vol.85 , pp. 53-65
    • Lacher, R.C.1    Coats, P.K.2    Sharma, S.C.3    Fant, L.F.4
  • 44
    • 17844382437 scopus 로고    scopus 로고
    • A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines
    • T.S. Lee, and I.F. Chen A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines Expert Syst. Appl. 28 2005 743 752
    • (2005) Expert Syst. Appl. , vol.28 , pp. 743-752
    • Lee, T.S.1    Chen, I.F.2
  • 45
    • 0036776547 scopus 로고    scopus 로고
    • Credit scoring using the hybrid neural discriminant technique
    • T.S. Lee, C.C. Chiu, C.J. Lu, and I.F. Chen Credit scoring using the hybrid neural discriminant technique Expert Syst. Appl. 23 2002 245 254
    • (2002) Expert Syst. Appl. , vol.23 , pp. 245-254
    • Lee, T.S.1    Chiu, C.C.2    Lu, C.J.3    Chen, I.F.4
  • 46
    • 84963865595 scopus 로고    scopus 로고
    • Credit risk scoring with Bayesian network models
    • C. Leong Credit risk scoring with Bayesian network models Comput. Econ. 2015 1 24
    • (2015) Comput. Econ. , pp. 1-24
    • Leong, C.1
  • 47
    • 84937523151 scopus 로고    scopus 로고
    • Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
    • S. Lessmann, B. Baesens, H.V. Seow, and L.C. Thomas Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research Eur. J. Oper. Res. 247 2015 124 136
    • (2015) Eur. J. Oper. Res. , vol.247 , pp. 124-136
    • Lessmann, S.1    Baesens, B.2    Seow, H.V.3    Thomas, L.C.4
  • 48
    • 69449103156 scopus 로고    scopus 로고
    • A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
    • T.H. Lin A cross model study of corporate financial distress prediction in Taiwan: multiple discriminant analysis, logit, probit and neural networks models Neurocomputing 72 2009 3507 3516
    • (2009) Neurocomputing , vol.72 , pp. 3507-3516
    • Lin, T.H.1
  • 49
    • 33745714009 scopus 로고    scopus 로고
    • An RCE-based associative memory with application to human face recognition
    • X. Mu, M. Artiklar, P. Watta, and M. Hassoun An RCE-based associative memory with application to human face recognition Neural Process. Lett. 23 2006 257 271
    • (2006) Neural Process. Lett. , vol.23 , pp. 257-271
    • Mu, X.1    Artiklar, M.2    Watta, P.3    Hassoun, M.4
  • 50
    • 40649096874 scopus 로고    scopus 로고
    • Cellular neural network for associative memory and its application to Braille image recognition
    • Vancouver, Canada
    • M. Namba, and Z. Zhang Cellular neural network for associative memory and its application to Braille image recognition Proc. International Joint Conference on Neural Networks Vancouver, Canada 2006 2409 2414
    • (2006) Proc. International Joint Conference on Neural Networks , pp. 2409-2414
    • Namba, M.1    Zhang, Z.2
  • 52
    • 0019190366 scopus 로고
    • On associative memory
    • G. Palm On associative memory Biol. Cybern. 36 1980 19 31
    • (1980) Biol. Cybern. , vol.36 , pp. 19-31
    • Palm, G.1
  • 53
    • 13544265385 scopus 로고    scopus 로고
    • A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
    • P.C. Pendharkar A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem Comput. Oper. Res. 32 2005 2561 2582
    • (2005) Comput. Oper. Res. , vol.32 , pp. 2561-2582
    • Pendharkar, P.C.1
  • 56
    • 50149113096 scopus 로고    scopus 로고
    • Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks
    • V. Ravi, and C. Pramodh Threshold accepting trained principal component neural network and feature subset selection: application to bankruptcy prediction in banks Appl. Soft Comput. 8 2008 1539 1548
    • (2008) Appl. Soft Comput. , vol.8 , pp. 1539-1548
    • Ravi, V.1    Pramodh, C.2
  • 59
    • 0027264230 scopus 로고
    • Modeling and classification of shape using a Kohonen associative memory with selective multiresolution
    • M. Sabourin, and A. Mitiche Modeling and classification of shape using a Kohonen associative memory with selective multiresolution Neural Netw. 6 1993 275 283
    • (1993) Neural Netw. , vol.6 , pp. 275-283
    • Sabourin, M.1    Mitiche, A.2
  • 60
    • 84859426730 scopus 로고    scopus 로고
    • A comparison between statistical and data mining methods for credit scoring in case of limited available data
    • Edinburgh, UK
    • H. Sabzevari, M. Soleymani, and E. Noorbakhsh A comparison between statistical and data mining methods for credit scoring in case of limited available data Proc. 3rd CRC Credit Scoring Conference Edinburgh, UK 2007
    • (2007) Proc. 3rd CRC Credit Scoring Conference
    • Sabzevari, H.1    Soleymani, M.2    Noorbakhsh, E.3
  • 61
    • 84988828223 scopus 로고
    • Neural networks: A new tool for predicting thrift failures
    • L.M. Salchenberger, E.M. Cinar, and N.A. Lash Neural networks: a new tool for predicting thrift failures Decis. Sci. 23 1992 899 916
    • (1992) Decis. Sci. , vol.23 , pp. 899-916
    • Salchenberger, L.M.1    Cinar, E.M.2    Lash, N.A.3
  • 62
    • 84945479662 scopus 로고    scopus 로고
    • Dealing with the evaluation of supervised classification algorithms
    • G. Santafe, I. Inza, and J.A. Lozano Dealing with the evaluation of supervised classification algorithms Artif. Intell. Rev. 2015 1 42
    • (2015) Artif. Intell. Rev. , pp. 1-42
    • Santafe, G.1    Inza, I.2    Lozano, J.A.3
  • 64
    • 84875427238 scopus 로고    scopus 로고
    • Partial least square discriminant analysis for bankruptcy prediction
    • C. Serrano-Cinca, and B. Gutiérrez-Nieto Partial least square discriminant analysis for bankruptcy prediction Decis. Support Syst. 54 2013 1245 1255
    • (2013) Decis. Support Syst. , vol.54 , pp. 1245-1255
    • Serrano-Cinca, C.1    Gutiérrez-Nieto, B.2
  • 65
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy prediction model
    • K.S. Shin, T.S. Lee, and H. Jung Kim An application of support vector machines in bankruptcy prediction model Expert Syst. Appl. 28 2005 127 135
    • (2005) Expert Syst. Appl. , vol.28 , pp. 127-135
    • Shin, K.S.1    Lee, T.S.2    Jung Kim, H.3
  • 66
    • 34347131550 scopus 로고
    • Die lernmatrix
    • K. Steinbuch Die lernmatrix Kybernetik 1 1961 36 45
    • (1961) Kybernetik , vol.1 , pp. 36-45
    • Steinbuch, K.1
  • 67
    • 84861845698 scopus 로고    scopus 로고
    • Financial distress prediction using support vector machines: Ensemble vs. individual
    • J. Sun, and H. Li Financial distress prediction using support vector machines: ensemble vs. individual Appl. Soft Comput. 12 2012 2254 2265
    • (2012) Appl. Soft Comput. , vol.12 , pp. 2254-2265
    • Sun, J.1    Li, H.2
  • 68
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • K.Y. Tam, and M.Y. Kiang Managerial applications of neural networks: the case of bank failure predictions Manag. Sci. 38 1992 926 947
    • (1992) Manag. Sci. , vol.38 , pp. 926-947
    • Tam, K.Y.1    Kiang, M.Y.2
  • 70
    • 84908455123 scopus 로고    scopus 로고
    • A comparative study of classifier ensembles for bankruptcy prediction
    • C.F. Tsai, Y.F. Hsu, and D.C. Yen A comparative study of classifier ensembles for bankruptcy prediction Appl. Soft Comput. 24 2014 977 984
    • (2014) Appl. Soft Comput. , vol.24 , pp. 977-984
    • Tsai, C.F.1    Hsu, Y.F.2    Yen, D.C.3
  • 71
    • 84912050356 scopus 로고    scopus 로고
    • Modeling credit scoring using neural network ensembles
    • C.F. Tsai, and C. Hung Modeling credit scoring using neural network ensembles Kybernetes 43 2014 1114 1123
    • (2014) Kybernetes , vol.43 , pp. 1114-1123
    • Tsai, C.F.1    Hung, C.2
  • 72
    • 38649113538 scopus 로고    scopus 로고
    • Using neural network ensembles for bankruptcy prediction and credit scoring
    • C.F. Tsai, and J.W. Wu Using neural network ensembles for bankruptcy prediction and credit scoring Expert Syst. Appl. 34 2008 2639 2649
    • (2008) Expert Syst. Appl. , vol.34 , pp. 2639-2649
    • Tsai, C.F.1    Wu, J.W.2
  • 73
    • 77951880059 scopus 로고    scopus 로고
    • Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: A survey
    • A. Verikas, Z. Kalsyte, M. Bacauskiene, and A. Gelzinis Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey Soft Comput. 14 2010 995 1010
    • (2010) Soft Comput. , vol.14 , pp. 995-1010
    • Verikas, A.1    Kalsyte, Z.2    Bacauskiene, M.3    Gelzinis, A.4
  • 74
    • 0034118581 scopus 로고    scopus 로고
    • Neural network credit scoring models
    • D. West Neural network credit scoring models Comput. Oper. Res. 27 2000 1131 1152
    • (2000) Comput. Oper. Res. , vol.27 , pp. 1131-1152
    • West, D.1
  • 75
    • 13544268431 scopus 로고    scopus 로고
    • Neural network ensemble strategies for financial decision applications
    • D. West, S. Dellana, and J. Qian Neural network ensemble strategies for financial decision applications Comput. Oper. Res. 32 2005 2543 2559
    • (2005) Comput. Oper. Res. , vol.32 , pp. 2543-2559
    • West, D.1    Dellana, S.2    Qian, J.3
  • 78
    • 36148959733 scopus 로고    scopus 로고
    • Credit risk assessment with a multistage neural network ensemble learning approach
    • L. Yu, S. Wang, and K.K. Lai Credit risk assessment with a multistage neural network ensemble learning approach Expert Syst. Appl. 34 2008 1434 1444
    • (2008) Expert Syst. Appl. , vol.34 , pp. 1434-1444
    • Yu, L.1    Wang, S.2    Lai, K.K.3
  • 79
    • 1242263784 scopus 로고    scopus 로고
    • Face recognition by applying wavelet subband representation and kernel associative memory
    • B.L. Zhang, H. Zhang, and S.S. Ge Face recognition by applying wavelet subband representation and kernel associative memory IEEE Trans. Neural Netw. 15 2004 166 177
    • (2004) IEEE Trans. Neural Netw. , vol.15 , pp. 166-177
    • Zhang, B.L.1    Zhang, H.2    Ge, S.S.3
  • 80
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
    • G. Zhang, M.Y. Hu, B.E. Patuwo, and D.C. Indro Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis Eur. J. Oper. Res. 116 1999 16 32
    • (1999) Eur. J. Oper. Res. , vol.116 , pp. 16-32
    • Zhang, G.1    Hu, M.Y.2    Patuwo, B.E.3    Indro, D.C.4
  • 81
    • 0035849653 scopus 로고    scopus 로고
    • Classification of cancer patients based on elemental contents of serums using bidirectional associative memory networks
    • Z. Zhang, H. Zhuo, S. Liu, and P. de B. Harrington Classification of cancer patients based on elemental contents of serums using bidirectional associative memory networks Anal. Chim. Acta 436 2001 281 291
    • (2001) Anal. Chim. Acta , vol.436 , pp. 281-291
    • Zhang, Z.1    Zhuo, H.2    Liu, S.3    Harrington, P.D.B.4


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