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https://www.sciencedirect.com/science/article/pii/0167923694900248
Decision Support Systems 11 (1994)545-557 545 North-Holland Bankruptcy prediction using neural networks Rick L. Wilson and Ramesh Sharda Oklahoma State University, Stillwater, OK, USA Prediction of firm bankruptcies have been extensively studied in accounting, as all stakeholders in a firm have a vested interest in monitoring its financial performance.Cited by: 902
https://dl.acm.org/citation.cfm?id=189291
Home Browse by Title Periodicals Decision Support Systems Vol. 11, No. 5 Bankruptcy prediction using neural networks article Bankruptcy prediction using neural networksCited by: 902
https://mpra.ub.uni-muenchen.de/44375/
R. L. Wilson, R. Sharda, Bankruptcy prediction using neural networks, Decision Support System 32 (1994) 545–557. M. Anandarajan, P. Lee, A. Anandarajan, Bankruptcy prediction of financially stressed firms: An examination of the predictive accuracy of artificial neural networks, international journal of intelligent systems in accounting ...
https://www.sciencedirect.com/science/article/pii/S0377221718308774
Neural network has been a popular method for bankruptcy prediction using numerical data. We refer readers to Wong and Selvi, 1998, Zhang et al., 1999 and the relevant studies in Table 1 for a review. We test three different models for benchmarking. The inputs of the models are variables from Table 3. In DL-1 Layer model, we add a single hidden ...Cited by: 10
https://link.springer.com/chapter/10.1007/978-3-319-91253-0_18
May 11, 2018 · Bankruptcy prediction is a very important issue in business financing. Raising availability of financial data makes it more and more viable. We use large data concerning the health of Polish companies to predict their possible bankruptcy in a relatively short period. To this end, we utilize feedforward neural networks.Author: Jolanta Pozorska, Magdalena Scherer
https://authors.library.caltech.edu/75897/1/0922b4f35185c31d9b000000.pdf
Bankruptcy Prediction for Credit Risk Using Neural Networks: A Survey and New Results Amir F. Atiya, Senior Member, IEEE Abstract— The prediction of corporate bankruptcies is an important and widely studied topic since it can have signifi-cant impact on bank lending decisions and profitability. This work presents two contributions.
https://www.sciencedirect.com/science/article/pii/S0957417404001526
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. ... there is a strong need for sophisticated decision support systems backed by analytical tools to measure, monitor, ... J. MingersNeural networks, decision tree …Cited by: 826
https://www.sciencedirect.com/science/article/pii/S095741741830616X
Mar 01, 2019 · A total of 7520 images for the bankrupt and continuing enterprises classes are used for training the convolutional neural network based on GoogLeNet. Bankruptcy predictions through the trained network are shown to have a higher performance compared to methods using decision trees, linear discriminant analysis, support vector machines, multi ...Cited by: 12
https://www.researchgate.net/publication/3302950_Bankruptcy_Prediction_for_Credit_Risk_Using_Neural_Networks_A_Survey_and_New_Results
Bankruptcy Prediction for Credit Risk Using Neural Networks: A Survey and New Results Article (PDF Available) in IEEE Transactions on Neural Networks 12(4):929 - 935 · August 2001 with 2,051 Reads
https://link.springer.com/chapter/10.1007%2F978-3-540-48713-5_26
This paper introduces the concepts of neural networks and presents an overview of the applications of neural networks in decision support systems (DSS). Neural networks can be viewed as supporting at least two types of DSS: data driven and model-driven.Cited by: 5
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