Nature

Rolling bearing fault identification with acoustic emission signal based on variable-pooling multiscale convolutional neural networks

This paper propose a new fault identification method based on variable pooling multiscale CNN (VPMCNN), which solves the bearing industrial problem of huge variable features and inherent multiscale ...
Nature

Optimization design of cross border intelligent marketing management model based on multi layer perceptron-grey wolf optimization convolutional neural network

With the accelerated development of globalization and the digital age, cross-border e-commerce has rapidly emerged as a bridge connecting global markets. In this process, traditional marketing methods ...