๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A property of neural networks of associative memory with replacing units

โœ Scribed by Akira Date; Koji Kurata

Publisher
Springer Japan
Year
2008
Tongue
English
Weight
293 KB
Volume
12
Category
Article
ISSN
1433-5298

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Experimental demonstration of associativ
Experimental demonstration of associative memory with memristive neural networks
โœ Yuriy V. Pershin; Massimiliano Di Ventra ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 711 KB

Synapses are essential elements for computation and information storage in both real and artificial neural systems. An artificial synapse needs to remember its past dynamical history, store a continuous set of states, and be "plastic" according to the pre-synaptic and post-synaptic neuronal activity

Global stability analysis of bidirection
Global stability analysis of bidirectional associative memory neural networks with time delay
โœ Jiye Zhang; Yiren Yang ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 108 KB ๐Ÿ‘ 1 views

## Abstract In this paper, without assuming the boundedness, monotonicity and differentiability of the activation functions, we present new conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of bidirectional associative memory neural networks with