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Identification of Non-linear Dynamic System

机译:非线性动力系统的辨识

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The behaviour of non-linear dynamic systems is studied. In this paper, the authors investigate the modelling and prediction abilities of a Recurrent Neural Network, Long Short Term Memory and Gated Recurrent Unit networks. The the input data sets has a chaotic nature. The effectiveness of all networks in modelling the several chaotic attractors is studied. And a comparison of their prediction quality is made.
机译:研究了非线性动力系统的行为。在本文中,作者研究了递归神经网络,长期短期记忆和门控递归单元网络的建模和预测能力。输入数据集具有混乱的性质。研究了所有网络在建模几个混沌吸引子方面的有效性。并对其预测质量进行了比较。

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