Estimation of hydraulic conductivity using gradation information through larsen fuzzy logic hybrid wavelet artificial neural network and combined artificial intelligence models
Abstract Hydraulic conductivity is a critical parameter in geotechnical studies, though determining it with field and laboratory methods is remarkably costly and time-consuming and suffers from innate uncertainty. Over the past few years, various AI models with higher accuracy have been used to dete...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07444-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|