Product quality time series prediction with attention-based convolutional recurrent neural network

Yiguan Shi; Yong Chen; Longjie Zhang

doi:10.1007/s10489-024-05709-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Product quality time series prediction with attention-based convolutional recurrent neural network

Yiguan Shi Yong Chen Longjie Zhang

Year: 2024 Journal: Applied Intelligence Vol: 54 (21)Pages: 10763-10779 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-024-05709-2

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Convolutional neural network Recurrent neural network Product (mathematics) Time series Quality (philosophy) Artificial neural network Series (stratigraphy) Key (lock) Process (computing) Deep learning Data mining Feature (linguistics) Artificial intelligence Machine learning Pattern recognition (psychology)

Metrics

Cited By

4.77

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Currency Recognition and Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Product quality time series prediction with attention-based convolutional recurrent neural network

Metrics

Citation History

Topics

Related Documents

Attention-Based Convolutional Recurrent Neural Network for Traffic Index Prediction

Time Series Prediction Model Based on Convolutional Neural Networks with Attention

Fractional order Lipschitz recurrent neural network with attention for long time series prediction

Financial Time Series Prediction Model Based Recurrent Neural Network

Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network