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A model of foreign language listening ability assessment assisted by mobile devices based on neural network

机译:基于神经网络的移动设备辅助外语听力评估模型

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摘要

In order to overcome the inaccuracy of foreign language listening assessment and the limitations of the assessment process, a model of foreign language listening ability assessment assisted by mobile devices based on neural network is proposed. Aiming at the characteristics of mobile devices, this paper applies artificial intelligence technology to foreign language listening ability assessment, and mining relevant data. BP network learning ability, nonlinear processing ability and fault tolerance ability are set as the assessment indicators of foreign language listening ability. A model of foreign language listening ability assessment assisted by mobile devices based on neural network is established, and the intelligent assessment of foreign language listening ability is realised through the model. The simulation results show that the proposed method can quickly and accurately evaluate the user's foreign language listening ability.
机译:为了克服外语听力评估的不准确性和评估过程的局限性,提出了一种基于神经网络的移动设备辅助的外语听力评估模型。旨在旨在移动设备的特点,本文将人工智能技术应用于外语聆听能力评估,以及采矿相关数据。 BP网络学习能力,非线性处理能力和容错能力被设定为外语听力的评估指标。建立了基于神经网络的移动设备辅助的外语听力评估模型,通过模型实现了外语听力能力的智能评估。仿真结果表明,该方法可以快速准确地评估用户的外语听力能力。

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