Utilizing the NEEP Model to Predict the Compressive Strength of Cement-Reference-Cited by-同舟云学术

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Utilizing the NEEP Model to Predict the Compressive Strength of Cement

Published:2023-11-03 Issue: Volume: Page:387-391
ISSN:
Container-title:2023 International Conference on New Trends in Computational Intelligence (NTCI)
language:
Short-container-title:

Author:

Liu Chen¹,Wu Xu²,Wang Lin¹,Yang Bo³,Zhao Xin²,Ning Shuai²,Guan Pengwei⁴

Affiliation:

1. Unversity of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022

2. Unversity of Jinan,Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials,Jinan,China,250022

3. Quan Cheng Laboratory,Jinan,China,250100

4. Shandong Qiuqi Analysis Instrument Co., Ltd.,Jinan,China,250024

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10403657/10403658/10403740.pdf?arnumber=10403740

Reference25 articles.

1. A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming

2. A Restart CMA Evolution Strategy With Increasing Population Size

3. Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming

4. An efficient approach for cement strength prediction

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