๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Commercial Mortgage Default: A Comparison of Logit with Radial Basis Function Networks

โœ Scribed by Athanasios Episcopos; Andreas Pericli; Jianxun Hu

Book ID
110253444
Publisher
Springer US
Year
1998
Tongue
English
Weight
107 KB
Volume
17
Category
Article
ISSN
0895-5638

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Financial distress prediction by a radia
Financial distress prediction by a radial basis function network with logit analysis learning
โœ Chi-Bin Cheng; Ching-Lung Chen; Chung-Jen Fu ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 778 KB

This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RB

Hyper Radial Basis Function Neural Netwo
Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal
โœ Sergiy A. Vorobyov; Andrzej Cichocki ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 755 KB

Efficient interference cancellation often requires nonlinear processing of a reference signal. In this paper, hyper radial basis function (HRBF) neural networks for adaptive interference cancellation is developed. We show that the HRBF networks, with an appropriate learning algorithm, is able to app