Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

This paper reports the results of soft computing-based models correlating L and N-type Schmidt hammer rebound numbers of rock. A data-independent database was compiled from available measurements reported in the literature, which was used to train and develop back propagating neural networks, geneti...

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Tác giả chính: Panagiotis G.Asteris, Anna Mamoua, Mohse Hajihassani, Mahdi Hasanipanah, Mohammadreza Koopialipoor, Tien-Thinh Le, Navid Kardanig, Danial J.Armaghanih
Định dạng: Bài trích
Ngôn ngữ:eng
Thông tin xuất bản: Transportation Geotechnics 2021
Chủ đề:
Artificial neural networks
Genetic programming
Machine learning
Truy cập trực tuyến:https://www.sciencedirect.com/science/article/abs/pii/S2214391221000787?via%3Dihub
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2836
https://doi.org/10.1016/j.trgeo.2021.100588
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Dữ liệu nguồn

https://www.sciencedirect.com/science/article/abs/pii/S2214391221000787?via%3Dihub
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2836
https://doi.org/10.1016/j.trgeo.2021.100588

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