๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Signal generation and selection in a neural network model

โœ Scribed by Katsumi Tateno; Hatsuo Hayashi; Satoru Ishizuka

Book ID
116537001
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
126 KB
Volume
1269
Category
Article
ISSN
0531-5131

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A generalized neural network model
A generalized neural network model
โœ X. Xu; W.T. Tsai; N.K. Huang ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 56 KB
Model selection in neural networks
Model selection in neural networks
โœ Ulrich Anders; Olaf Korn ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 418 KB

In this article, we examine how model selection in neural networks can be guided by statistical procedures such as hypothesis tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification pr

A neural network approach to forecasting
A neural network approach to forecasting model selection
โœ Jeffrey E. Sohl; A.R. Venkatachalam ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 482 KB

The literature has shown that no one model provides the most accurate forecasts. The focus has instead shifted to identifying the characteristics of the time series in order to provide guidelines for choosing the most appropriate extrapolation model. In this paper we test the feasibility of employin