๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Abstract code network as a model of perceptual memory

โœ Scribed by Hans Mellink; Hans Buffart

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
701 KB
Volume
20
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Neural networks as models of associative
Neural networks as models of associative memories
โœ N. Parga ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 751 KB

Neural networks have proved to be useful models of associative memories. After a brief review of the standard Hopfield model we discuss how to introduce some realistic features such as categorization of the stored information and asymmetric synapsis.

Artificial neural network as an incremen
Artificial neural network as an incremental non-linear constitutive model for a finite element code
โœ M. Lefik; B.A. Schrefler ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 373 KB

A back propagation artificial neural network (BP ANN) is proposed as a tool for numerical modelling of the constitutive behaviour of a physically non-linear body. Training process of the ANN using experimental data is discussed in details and illustrated with an example. In particular, some difficul