Discussion of “A Data-Driven Influential Factor Analysis Method for Fly Ash–Based Geopolymer Using Optimized Machine-Learning Algorithms”-Reference-Cited by-同舟云学术

Discussion of “A Data-Driven Influential Factor Analysis Method for Fly Ash–Based Geopolymer Using Optimized Machine-Learning Algorithms”

Published:2023-10 Issue:10 Volume:35 Page:
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Sihag Parveen¹,Singh Balraj²

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Chandigarh Univ., Mohali, Punjab 140413, India.

2. Assistant Professor, Dept. of Civil Engineering, Panipat Institute of Engineering and Technology, Samalkha, Haryana 132101, India (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JMCEE7.MTENG-15694

Reference6 articles.

1. Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques

2. Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR

3. Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques

4. Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran

5. An expert system for predicting the infiltration characteristics

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