๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Empirical comparison of various methods for training feed-Forward neural networks for salinity forecasting

โœ Scribed by Maier, Holger R.; Dandy, Graeme C.

Book ID
119654445
Publisher
American Geophysical Union
Year
1999
Tongue
English
Weight
707 KB
Volume
35
Category
Article
ISSN
0043-1397

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Hybrid learning schemes for fast trainin
Hybrid learning schemes for fast training of feed-forward neural networks
โœ Nicolaos B. Karayiannis ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 905 KB

Fast training of feed-forward neural networks became increasingly important as the neural network field moves toward maturity. This paper begins with a review of various criteria proposed for training feed-forward neural networks, which include the frequently used quadratic error criterion, the rela