The condition for a fuzzy neural network to realize memory is discussed, and the concept of lattice point is given.

讨论了一种模糊神经网络实现记忆的条件和记忆的特点，并给出了样本组格子点分布的概念。

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A new concept of generalized fuzzy inference and the generalized fuzzy RBF network model are presented. The generalized Lear ni ng algorithm of this network model is derived.

在提出广义模糊推理概念的基础上，提出并分析了广义模糊径向基(rbf)神经网络模型，给出了该网络的广义学习算法。

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