多层神经网络的有效训练算法

Valid Algorithm for Multilayer Neural Network

提出了基于整体模式的多层神经网络的有效训练算法，给出了偏导矩阵的速推算法，由此导出多层神经网络的并行训练算法。用本文提出的训练算法进行模型参数估计，其仿真结果表明：该算法不仅减少训练周期，而且还可提高模型参数的估计精度。

The valid algorithm for multilayer neural network based on the entirety pattern is proposed in this paper. The recursive algorithm of derivative matrix and the corresponding parallel training algorithm are also given. The model parameters are estimated by using the training algorithm provided in this paper. The simulated results have shown that the training algorithm not only reduces the training period, but also gains high acuracy for the model parameters estimations.