๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A reliable method for classification of bank notes using artificial neural networks

โœ Scribed by Ali Ahmadi; Sigeru Omatu; T. Fujinaka; Toshihisa Kosaka

Book ID
106246295
Publisher
Springer Japan
Year
2004
Tongue
English
Weight
940 KB
Volume
8
Category
Article
ISSN
1433-5298

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Classification of Arrhythmic Events in A
Classification of Arrhythmic Events in Ambulatory Electrocardiogram, Using Artificial Neural Networks
โœ R. Silipo; M. Gori; A. Taddei; M. Varanini; C. Marchesi ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 419 KB

We propose artificial neural networks (ANN) for ambulatory ECG arrhythmic event classification, and we compare them with some traditional classifiers (TC). Among them, the one based on the median method (heuristic algorithm) was chosen and taken as a quality reference in this study, while a back pro