The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Artificial neural networks: an econometric perspective∗
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Citations
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Self-citationA logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Learning Internal Representations by Error Propagation
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985) · doi:10.21236/ada164453 · Cited by 16,172
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
Convergence of Probability Measures
Billingsley, P. (1999) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316962 · Cited by 13,910
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
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
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212
A Stochastic Approximation Method
Robbins, H., & Monro, S. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729586 · Cited by 9,643
Journal of Economic Literature
(2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.633 · Cited by 7,468
Cited by
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
Global Optimization of Statistical Functions with Simulated Annealing
Goffe, W. L., Ferrier, G. D., & Rogers, J. (1994) · Journal of Econometrics · doi:10.1016/0304-4076(94)90038-8 · Cited by 1,610
Forecasting exchange rates using feedforward and recurrent neural networks
Kuan, C., & Liu, T. (1995) · Journal of Applied Econometrics · doi:10.1002/jae.3950100403 · Cited by 428
Self-citationGençay, R. (1999) · Journal of International Economics · doi:10.1016/s0022-1996(98)00017-8 · Cited by 305
Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets
Bekiros, S. D. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.04.015 · Cited by 53
Metadata
- Authors
- Kuan, C.-M., & White, H.
- Venue
- Econometric Reviews
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 13
- Issue
- 1
- Pages
- 1-91
- ISSN
- 0747-4938 (ISSN-L)
- 1532-4168
- OpenAlex
- W1993498260
- Cited by
- 454
- References
- 95
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Kuan, C.-M., & White, H. (1994). Artificial neural networks: an econometric perspective∗. Econometric Reviews. https://doi.org/10.1080/07474939408800273
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.