TY - JOUR
T1 - Evolving intelligent algorithms for the modelling of brain and eye signals
AU - De Jesús Rubio, José
PY - 2014/1
Y1 - 2014/1
N2 - In this paper, the modelling problem of brain and eye signals is considered. To solve this problem, three important evolving and stable intelligent algorithms are applied: the sequential adaptive fuzzy inference system (SAFIS), uniform stable backpropagation algorithm (SBP), and online self-organizing fuzzy modified least-squares networks (SOFMLS). The effectiveness of the studied methods is verified by simulations.
AB - In this paper, the modelling problem of brain and eye signals is considered. To solve this problem, three important evolving and stable intelligent algorithms are applied: the sequential adaptive fuzzy inference system (SAFIS), uniform stable backpropagation algorithm (SBP), and online self-organizing fuzzy modified least-squares networks (SOFMLS). The effectiveness of the studied methods is verified by simulations.
KW - Brain signals
KW - Evolving intelligent systems
KW - Eye signals
KW - Modelling
KW - Stable intelligent systems
UR - http://www.scopus.com/inward/record.url?scp=84889091682&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2013.07.023
DO - 10.1016/j.asoc.2013.07.023
M3 - Artículo
SN - 1568-4946
VL - 14
SP - 259
EP - 268
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
IS - PART B
ER -