๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Back-propagation learning of neural networks for translation invariant pattern recognition

โœ Scribed by Jianqiang Yi; Shuichi Kurogi; Kiyotoshi Matsuoka


Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
747 KB
Volume
22
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Back propagation for perspective-invaria
โœ M.M. Moya; R.J. Fogler; L.D. Hostetler ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 54 KB

Neural networks have been proposed as solutions to complex pattern recognition problems at which humans excel but for which algorithmic approaches have not been very successful. Examples of such problems include recognizing an object regardless of its viewing angle or perspective in an image and rec

Back-propagation learning in improving t
โœ Rob Law ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 184 KB

Traditional tourism demand forecasting techniques concentrate predominantly on multivariate regression models and univariate time-series models. These single mathematical function-based forecasting techniques, although they have achieved a certain degree of success in tourism forecasting, are unable