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Brain emotional learning (BEL) methods are a recently developed class of emotional brain-inspired algorithms, that enjoy feed-forward computational complexity on the order of O(n). BEL methods suffer from a major drawback related to the non-linear problem solving ability, i.e. they cannot solve n-bit parity problems in which $$\hbox {n} \ge 3$$ n≥3 . The present paper proposes a competitive BEL (C-BEL)...
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