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Evolving intelligent algorithms for the modelling of brain and eye signals

Author:
de Jesús Rubio   José  


Journal:
Applied Soft Computing


Issue Date:
2014


Abstract(summary):

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. [All rights reserved Elsevier].


Page:
259-268


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