本文研究神经网络的多层感知器模型在语音识别中的应用。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
深度学习模型的一个典型例子是前馈深度网络,或者说多层感知器(MLP)。
The quintessential example of a deep learning model is the feedforward deepnetwork or multilayer perceptron (MLP).
本文采用多层感知器建立了微带不连续性的神经网络模型。
The multi-layer perceptron is introduced to charcacterize the microstrip discontinuity by describings-parameters.
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