In this chapter, the modeling 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 (SOFMLS) networks. The effectiveness of the studied methods is verified by simulations.

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Evolving Intelligent Algorithms for the Modeling of Brain and Eye Signals

  • Jose de Jesus Rubio

摘要

In this chapter, the modeling 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 (SOFMLS) networks. The effectiveness of the studied methods is verified by simulations.