BriefGPT.xyz
Apr, 2023
使用神经网络集合进行考虑不确定性的车辆能耗效率预测
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks
HTML
PDF
Jihed Khiari, Cristina Olaverri-Monreal
TL;DR
本文提出了一种基于深度神经网络(ENN)的集成学习方法,旨在减少交通工具能效预测中的不确定性并输出不确定性度量,该方法在公开的车辆能源数据集(VED)上表现出了高的预测性能和预测不确定性度量。
Abstract
The
transportation sector
accounts for about 25% of global greenhouse gas emissions. Therefore, an improvement of
energy efficiency
in the traffic sector is crucial to reducing the
→