Connectionist Projection Pursuit Regression.
We present a novel regression method that combines projection pursuit regression with feed forward neural networks. The algorithm is presented and compared to standard neural network learning. Connectionist projection pursuit regression (CPPR) is applied to modelling the U.S. average dollar-Deutsch mark exchange rate movement using several economic indicators. The performance of CPPR is compared with the performances of other approaches to this problem. Citation Copyright 1994 by Kluwer Academic Publishers.
Year of publication: |
1994
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Authors: | Verkooijen, William ; Daniels, Hennie |
Published in: |
Computational Economics. - Society for Computational Economics - SCE, ISSN 0927-7099. - Vol. 7.1994, 3, p. 155-61
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Publisher: |
Society for Computational Economics - SCE |
Saved in:
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