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提出一类二层决策问题的模型．在某些凸性假设下，研究它的一些性质，提出了一种基于Ｆｒａｎｋ－Ｗａｌｆｅ和人工神经网络方法的算法．并以算例说明该算法可行性．
A model of two-level decision-making problem is proposed. Under certain convexity assumption, some properties of it are studied and an algorithm based on Frank-Walfe and artificial neural networks is proposed. An example is given to illustrate the feasibility of the algorithm.