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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_ | 1868553591193600000 |
|---|---|
| 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 |
| last_indexed | 2026-06-20T21:38:57.850Z |
| 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 |
| 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_alt | Predicción de la resistencia de roca intacta para excavación mecánica en condición seca y saturada utilizando estadística multivariante y redes neuronales artificiales optimizadas con algoritmo genético Prédiction de la résistance de la roche intacte pour l'excavation mécanique en conditions sèche et saturée à l'aide de statistiques multivariées et de réseaux de neurones artificiels optimisés par algorithme génétique Previsão da resistência de rocha intacta para escavação mecânica em condição seca e saturada usando estatística multivariada e redes neurais artificiais otimizadas por algoritmo genético |
| 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_es_txt | Predicción de la resistencia de roca intacta para excavación mecánica en condición seca y saturada utilizando estadística multivariante y redes neuronales artificiales optimizadas con algoritmo genético |
| title_fr_txt | Prédiction de la résistance de la roche intacte pour l'excavation mécanique en conditions sèche et saturée à l'aide de statistiques multivariées et de réseaux de neurones artificiels optimisés par algorithme génétique |
| 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_pt_txt | Previsão da resistência de rocha intacta para escavação mecânica em condição seca e saturada usando estatística multivariada e redes neurais artificiais otimizadas por algoritmo genético |
| 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 |