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This paper proposes a new AND-OR fuzzy neural networks (AND-OR FNN) based on the AND and the OR neurons, which are made up of T norm and S norm and have the ability to reduce the input space. Zadeh's operators are employed in order to infer the symbolic expression of every layer. A piecewise hybrid optimization approach is proposed to train the fuzzy neural networks to avoid the shortcoming of gradient...
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