default author photo

Christine Chan

University of Regina

3737 Wascana Parkway

Regina, S4S 0A1

Canada

SCHOLARLY PAPERS

2

DOWNLOADS

104

TOTAL CITATIONS

0

Scholarly Papers (2)

Actions:
Email selected abstracts
1.

Towards A New Method Of Generating Predictive And Interpretable Machine Learning Models And Its Application To The Carbon Capture Process System

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 12 Posted: 06 Jan 2025
Xin Wang, Christine Chan, Tianci Li, Congning Yang and Paitoon Tontiwachwuthikul
University of Regina, University of Regina, University of Regina, University of Regina and University of Regina
Downloads 73 (875,328)

Abstract:

Loading...

Post Combustion Carbon Capture, Machine Learning, Explainable Artificial Intelligence, Tree-Based Local Interpretable Model-agnostic Explanation, Decision Trees Ensemble, Post Combustion, CO2 Capture, Interpretability

2.

Self-Adapting Anti-Surge Intelligence Control and Numerical Simulation of Centrifugal Compressors Based on RBF Neural Network

Number of pages: 19 Posted: 04 Oct 2021
San He, Mengyu Xie, Patioon Tontiwachwuthikul, Christine Chan and Jianfeng Li
Southwest Petroleum University - Petroleum Engineering School, Southwest Petroleum University - Petroleum Engineering School, University of Regina - Clean Energy Technologies Research Institute (CETRI), University of Regina and Southwest Petroleum University - Petroleum Engineering School
Downloads 31 (1,304,549)

Abstract:

Loading...

Centrifugal compressor, Anti-surge control, RBF neural network, Self-adapting