Determination of accelerated factors in gradient descent iterations based on Taylor's series

Milena J. Petrović, Nataša Kontrec, S. Panic
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引用次数: 3

Abstract

In this paper the efficiency of accelerated gradient descent methods regarding the way of determination of accelerated factor is considered. Due to the previous researches we assert that the use of Taylor’s series of posed gradient descent iteration in calculation of accelerated parameter gives better final results than some other choices. We give a comparative analysis of efficiency of several methods with different approaches in obtaining accelerated parameter. According to the achieved results of numerical experiments we make a conclusion about the one of the most optimal way in defining accelerated parameter in accelerated gradient descent schemes.
基于泰勒级数的梯度下降迭代加速因子的确定
本文考虑了加速梯度下降法在确定加速因子方面的有效性。通过前人的研究,我们认为使用泰勒级数梯度下降迭代法计算加速参数的最终结果比其他方法更好。我们比较分析了几种不同方法获取加速参数的效率。根据数值实验结果,得出了加速梯度下降方案中加速参数的最优定义方法之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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