๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

UNEQ: A class modelling supervised pattern recognition technique

โœ Scribed by Derde, M. P. ;Massart, D. L.


Book ID
105118065
Publisher
Springer-Verlag
Year
1986
Weight
673 KB
Volume
89
Category
Article
ISSN
0344-838X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A self-supervised learning system for pa
โœ K Yamauchi; M Oota; N Ishii ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 1022 KB

Artificial neural networks are useful tools for pattern recognition because they realize nonlinear mapping between input and output spaces. This ability is tuned by supervised learning methods such as back-propagation. In the supervised learning methods, desired outputs of the neural network are nee

Fuzzy techniques in pattern recognition:
โœ M.M. Gupta ๐Ÿ“‚ Article ๐Ÿ“… 1984 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 122 KB

In conclusion, this book left me with mixed feelings. It definitely gives a complete account of the application of the decentralized method for manipulator control and as such, I recommend it to every engineer or scientist with interest in robotics. However, I have many questions about the effective

A Class of Pattern-Forming Models
โœ P. C. Fife; M. Kowalczyk ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Springer ๐ŸŒ English โš– 174 KB