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Zero cost function training algorithms for three-layered feedforward neural networks

机译:三层前馈神经网络的零成本函数训练算法

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摘要

In this paper, two theorems are proved for zero cost function (or precise I/O mapping) training algorithms about three-layered feedforward neural networks. Two training algorithms based on Moore-Penrose pseudoinverse (MPPI) matrix together with corresponding structure design guidelines are also proposed.
机译:本文证明了关于三层前馈神经网络的零成本函数(或精确I / O映射)训练算法的两个定理。还提出了两种基于Moore-Penrose伪逆(MPPI)矩阵的训练算法以及相应的结构设计准则。

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