Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models
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DOI: 10.1016/j.neucom.2018.05.075
Abstract: Abstract This paper investigates the split complex gradient descent based neuro-fuzzy algorithm with self-adaptive momentum and L2 regularizer for training TSK (Takagi–Sugeno–Kang) fuzzy inference models. The major threat for disposing complex data with fuzzy system… read more here.
Keywords: algorithm; regularizer; complex gradient; split complex ... See more keywords