A Soft Sensor Model for Cement Specific Surface Area Based on TCN-ASRU Neural Network

Sun, Chao; Zhang, Yuan; Zhao, Haichao; Guo, Haoran; Zhang, Yuxuan; Hao, Xiaochen

doi:10.1109/tim.2023.3278292

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Soft Sensor Model for Cement Specific Surface Area Based on TCN-ASRU Neural Network

Cited by 3 publications

References 33 publications

A Periodic Recursive Network Based on Temporal Attention Convolution for Soft Sensing

A Periodic Recursive Network Based on Temporal Attention Convolution for Soft Sensing

One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction

Spectrum Prediction for Mobile Internet of Things Based on a DB-LSTM Algorithm

Contact Info

Product

Resources

About