Currently displaying 1 – 10 of 10

Showing per page

Order by Relevance | Title | Year of publication

Positive fixed point theorems arising from seeking steady states of neural networks

Gen Qiang WangSui-Sun Cheng — 2010

Mathematica Bohemica

Biological systems are able to switch their neural systems into inhibitory states and it is therefore important to build mathematical models that can explain such phenomena. If we interpret such inhibitory modes as `positive' or `negative' steady states of neural networks, then we will need to find the corresponding fixed points. This paper shows positive fixed point theorems for a particular class of cellular neural networks whose neuron units are placed at the vertices of a regular polygon. The...

Page 1

Download Results (CSV)