Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems
Since feed-forward artificial neural networks (FFANNs) are the most widely used models to
solve real-life problems, many studies have focused on improving their learning …
solve real-life problems, many studies have focused on improving their learning …
Modeling spatio-temporal dynamics of network damage and network recovery
M Saeedghalati, A Abbassian - Frontiers in Computational …, 2015 - frontiersin.org
How networks endure damage is a central issue in neural network research. In this paper,
we study the slow and fast dynamics of network damage and compare the results for two …
we study the slow and fast dynamics of network damage and compare the results for two …
[PDF][PDF] The effect of temporal pattern of injury on disability in learning networks
M Saeedghalati, A Abbassian - arxiv preprint arxiv:1205.2012, 2012 - academia.edu
How networks endure damage is a central issue in neural network research. This includes
temporal as well as spatial pattern of damage. Here, based on some very simple models we …
temporal as well as spatial pattern of damage. Here, based on some very simple models we …
İleri yönlü yapay sinir ağlarında küçük dünya ağı yaklaşımı ve uygulamaları
O Erkaymaz - 2012 - search.proquest.com
Beyinde öğrenme süreci, biyolojik sinir ağlarının bilgiyi depo etmesi ve bu bilginin ağı
oluşturan nöronlar arası iletilmesi aşamalarından meydana gelmektedir. Buradan hareketle …
oluşturan nöronlar arası iletilmesi aşamalarından meydana gelmektedir. Buradan hareketle …