This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.

因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。

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A fast dual algorithm is presented for the piecewise linear programming with successively increasing slopes.

针对目标函数具有递增斜率的分段线性规划问题，提出了一种快速的对偶算法。

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A fast dual algorithm is presented for the piecewise linear programming with successively increasing slopes.

针对目标函数具有递增斜率的分段线性规划问题，提出了一种快速的对偶算法。

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