Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware — Marta Kolasa (2017) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware
Shared by
Witold Pedrycz
University of Alberta
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware
Article
2017
en
Authors
+1 more
MK
Marta Kolasa
RD
Rafał Długosz
TT
Tomasz Talaśka
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2003
Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks
Sung‐Kwun Oh
,
Witold Pedrycz
Article
2014
An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps.
Marta Kolasa
,
Rafał Długosz
,
Tomasz Talaśka
,
Witold Pedrycz
Article
2015
Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology
Marta Kolasa
,
Rafał Długosz
,
Witold Pedrycz
Article
2012
Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology
Rafał Długosz
,
Tomasz Talaśka
,
Witold Pedrycz
,
Pierre-André Farine
Article
2003
Self-organizing neurofuzzy networks in modeling software data
Sung‐Kwun Oh
,
Witold Pedrycz
,
Byoung‐Jun Park
Discussion(0)
No comments yet. Be the first to comment.