Prediction and field application of water-conducting fracture zone height using a PSO-BP neural network optimised by dynamic mutation
W
Weiyu Guo
Y
Yu Wang
Y
Yi Tan
(State Key Laboratory of Bioactive Molecules and Druggability Assessment, and School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China)
X
Xuhan Liu
Y
Yixiang Feng
S
Sijiang Wei
X
Xiaolei Wang
(State Key Laboratory of Natural Product Chemistry, College of Chemistry and Chemical Engineering)
W
Weiyong Lu
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 1, Issue 1
Published
July 14, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (8)
W
Weiyu Guo
Y
Yu Wang
Y
Yi Tan
State Key Laboratory of Bioactive Molecules and Druggability Assessment, and School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
X
Xuhan Liu
Y
Yixiang Feng
S
Sijiang Wei
X
Xiaolei Wang
State Key Laboratory of Natural Product Chemistry, College of Chemistry and Chemical Engineering
W
Weiyong Lu
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