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Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm
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| Published in: | Journal of Earth System Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301678553759744 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Earth System Science |
| description | |
| discipline_display | Earth Sciences |
| discipline_facet | Earth Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:76408 |
| institution | FRELIP |
| journal_source_facet | Journal of Earth System Science |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm Earth Sciences General Earth Sciences |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Earth Sciences General Earth Sciences Earth Sciences General Earth Sciences |
| subject_facet | Earth Sciences General Earth Sciences |
| title | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_auth | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_full | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_fullStr | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_full_unstemmed | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_short | Predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| title_sort | predicting intact rock strength for mechanical excavation in dry and saturated condition using multivariate statistics and artificial neural networks optimized using genetic algorithm |
| topic | Earth Sciences General Earth Sciences |
| url | https://link.springer.com/article/10.1007/s12040-026-02825-0 |