NVH METHOD AND APPARATUS FOR PREDICTING THE PERFORMANCE OF A VEHICLE NVH SYSTEM BASED ON DEEP LEARNING

A method for predicting performance of a vehicle NVH system based on deep learning is provided. The method includes preprocessing learning data collected for each channel associated with noise and vibration while driving, learning a model forming a correlation function between multiple inputs and multiple outputs corresponding to the preprocessed learning data using an artificial neural network, and predicting performance using a vehicle NVH system model formed through the learned model. 本发明提供了一种基于深度学习预测车辆NVH系统性能的方法。该方法包括：针对为与行驶时的噪声和振动相关联的各通道收集的学习数据进行预测；使用人工神经网络学习模型，该模型形成与预处理后的学习数据相对应的多个输入与多个输出之间的相关函数的模型；以及使用通过学习后的模型形成的车辆NVH系统模型来预测性能。