摘要: The authors apply neural networks to a generalization problem of predicting the ratings corporate bonds, where conventional mathematical modeling techniques have yielded poor results and it is difficult build rule-based artificial-intelligence systems. indicate that nets are useful approach problems in such nonconservative domains, performing much better than like regression. >
sci-hub.se 参考文章(9)
James Kindrick, Bruce Irish, H. Van Dyke Parunak, Material handling: a conservative domain for neural connectivity and propagation national conference on artificial intelligence. pp. 307- 311 ,(1987)
D. E. Rumelhart, Learning internal representations by back-propagating errors Parallel Distributed Processing: Explorations in the Microstructure of Cognition. pp. 318- 362 ,(1986)
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams, Learning representations by back-propagating errors Nature. ,vol. 323, pp. 696- 699 ,(1988) , 10.1038/323533A0
Terrence J. Sejnowski, Charles R. Rosenberg, NETtalk: a parallel network that learns to read aloud Neurocomputing: foundations of research. pp. 661- 672 ,(1988)
Thomas F. Pogue, Robert M. Soldofsky, What's in a Bond Rating The Journal of Financial and Quantitative Analysis. ,vol. 4, pp. 201- 228 ,(1969) , 10.2307/2329840
Stephen I. Gallant, Connectionist expert systems Communications of the ACM. ,vol. 31, pp. 152- 169 ,(1988) , 10.1145/42372.42377
George E. Pinches, Kent A. Mingo, A MULTIVARIATE ANALYSIS OF INDUSTRIAL BOND RATINGS The Journal of Finance. ,vol. 28, pp. 1- 18 ,(1973) , 10.1111/J.1540-6261.1973.TB01341.X
James O. Horrigan, The Determination of Long-Term Credit Standing with Financial Ratios Journal of Accounting Research. ,vol. 4, pp. 44- 62 ,(1966) , 10.2307/2490168
Richard R. West, An Alternative Approach to Predicting Corporate Bond Ratings Journal of Accounting Research. ,vol. 8, pp. 118- 125 ,(1970) , 10.2307/2674717