The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Neural Networks: A New Tool for Predicting Thrift Failures*
Abstract
A neural network model that processes input data consisting of financial ratios is developed to predict the financial health of thrift institutions. The network's ability to discriminate between healthy and failed institutions is compared to a traditional statistical model. The differences and similarities in the two modelling approaches are discussed. The neural network, which uses the same financial data, requires fewer assumptions, achieves a higher degree of prediction accuracy, and is more robust.
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Cites
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
Cited by
Forecasting with artificial neural networks:
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On big data, artificial intelligence and smart cities
Allam, Z., & Dhunny, Z. A. (2019) · Cities · doi:10.1016/j.cities.2019.01.032 · Cited by 1,178
Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
Ravi Kumar, P., & Ravi, V. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.043 · Cited by 1,074
Neural network credit scoring models
West, D. (2000) · Computers & Operations Research · doi:10.1016/s0305-0548(99)00149-5 · Cited by 1,033
Neural networks and statistical techniques: A review of applications
Paliwal, M., & Kumar, U. A. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.10.005 · Cited by 792
Metadata
- Authors
- Salchenberger, L. M., Cinar, E. M., & Lash, N. A.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 1992-07
- Volume
- 23
- Issue
- 4
- Pages
- 899-916
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W1968182870
- Cited by
- 533
- References
- 1
- FWCI
- 57.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Salchenberger, L. M., Cinar, E. M., & Lash, N. A. (1992). Neural Networks: A New Tool for Predicting Thrift Failures*. Decision Sciences. https://doi.org/10.1111/j.1540-5915.1992.tb00425.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
