Sets提供了用于节点集操作的函数，包括返回两个节点集的交集和返回出现在一个节点集中而不在另一节点集中的节点。
Sets provides functions for nodeset manipulation, including returning the intersection of two nodesets and returning nodes that appear in one nodeset but not another.
提出了基于硬限幅功能函数的前向神经网络的分类学习算法，并将其应用于可分凸集或不交集合的分类。
A learning algorithm based on a hard limiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.
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