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A new training strategy for DFE-MLP using Modified BP algorithm and application to channel equalization

机译:DFE-MLP使用修改的BP算法和应用于信道均衡的新培训策略

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摘要

In this work, a new training strategy using a new modified back-propagation (BP) algorithm for a multilayer perceptron (MLP) based upon the previously introduced in [8], [9] is proposed. Its performance is investigated and compared to those of MLP-DFE based on the standard BP algorithm and the previously introduced in [8], [9]. The results show improved performance obtained by the new structure in nonlinear channels.
机译:在这项工作中,提出了一种基于先前引入的[8],[9]的使用新的改进的反向传播(BP)算法的新培训策略。 研究其性能并基于标准BP算法和先前引入的MLP-DFE的性能,并在[8],[9]中。 结果表明,通过非线性通道的新结构获得了改进的性能。

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