Multi-angle perception and convolutional neural network for service quality evaluation of cross-border e-commerce logistics enterprise.

ABSTRACT: The development of cross-border e-commerce logistics services has injected new vitality into the development of international trade, and therefore has become a new hot spot in theoretical research. In order to ensure the healthy development of cross-border e-commerce, it is urgent to build a set of scientific and effective evaluation mechanisms to scientifically evaluate the logistics service quality of cross-border e-commerce. Multi-angle perceptual convolutional neural network is a framework for service scene identification of cross-border e-commerce logistics enterprises based on deep convolutional neural network and multi-angle perceptual width learning. In this article, both shallow features and deep features were input into the deep perception model (DPM) to obtain a set of distingui

SUBMITTER: Zhao S 

PROVIDER: S-EPMC10909154 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature