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本文提出两个解线性不等式的Hopfield-Tank型的神经网络。第一个网络模拟同时松弛投影方法,第二个网络是二次规划方法。当线性不等式的解集非空时,这两个方法都给出该线性不等式的解。同时我们还给出了这两个网络的数值模拟。
This paper presents two Hopfield-Tank neural networks that solve linear inequalities. The first network simulates the simultaneous slack projection method and the second one is the quadratic programming method. Both solutions give the solution to this linear inequality when the set of linear inequalities is not empty. We also give numerical simulations of these two networks.