Multivariate Data Retrieval Modified by Random Noise using Lattice Autoassociative Memories with Eroded or Dilated Input Residuals
Lattice associative memories were proposed as an alternative approach to work with a set of associated vector pairs for which the storage and retrieval stages are based in the theory of algebraic lattices. Several techniques have been established to deal with the problem of binary or real valued vec...
Main Authors: | Urcid Gonzalo, Morales-Salgado Rocío, Nieves-VázquezsJosé-Angel |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/41/matecconf_cscc2019_04007.pdf |
Similar Items
-
Use of autoassociative neural networks for sensor diagnostics
by: Najafi, Massieh
Published: (2005) -
Constructive autoassociative neural network for facial recognition.
by: Bruno J T Fernandes, et al.
Published: (2014-01-01) -
Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
by: Ankit Kumar, et al.
Published: (2017-03-01) -
Statistical mechanical studies of autoassociative and feedforward neural networks
by: O'Kane, Dominic
Published: (1993) -
Hierarchical Autoassociative Polynomial Network for Deep Learning of Complex Manifolds
by: Aspiras, Theus Herrera
Published: (2015)