https://m2.mtmt.hu/ hun 2026-10-23 17:44 JournalArticle 35667976 VALIDATED true 0 false 2026-08-05T11:57:06.755+0000 2026-04-22T18:46:11.791+0000 2025-01-07T13:13:58.397+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin Andódy Katalin (BME admin4) true 2026-04-22T18:45:05.436+0000 2026-04-22T18:45:05.436+0000 2026-04-22T18:46:11.991+0000 true 10063514 Mikola Katalin /api/admin/10063514 Admin Mikola Katalin (MTMT 3, admin) true 10063514 Admin 10063514 /api/admin/10063514 Mikola Katalin (MTMT 3, admin) Mikola Katalin true 10063514 true 2026-04-08T21:03:30.217+0000 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Narimani, Samad true true /api/journal/10012826 REVIEWED EARTH SCIENCE INFORMATICS 1865-0473 1865-0481 true false 10012826 false 10012826 true 1865-0473 1865-0481 Journal FOREIGN 18 1 91 91 27 2025 Geomechanical properties such as uniaxial compressive strength (UCS) and modulus of elasticity (E) are essential for evaluating the mechanical behavior of rocks and crucial for rock engineering projects. Researchers frequently estimate these values indirectly because it is not always feasible to get high-quality core samples. Four machine learning models including multiple linear regression (MLR), multiple nonlinear regression (MNLR), artificial neural networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were introduced and employed to examine the prediction of UCS and E in 221 granitic rock samples from Bataapáti nuclear reservoir in Hungary. The variables to calculate UCS and E are: density, P-wave velocity, shear strength and Brazilian tensile strength. The study compared the performance of the proposed machine learning models and found that the ANFIS model had obtained the most satisfactory prediction accuracy. Based on the sensitive analysis, the BTS is the most important variable for predicting UCS and Vp for E. Six popular performance indices, including the root-mean-square error (RMSE), mean absolute error (MAE), the coefficient of determination (R2), mean absolute percent error (MAPE), variance accounts for (VAF) and a20-index were adopted to evaluate all models. The ANFIS model demonstrates outstanding predictive performance for UCS, achieving an R²=0.99, RMSE = 2.445, MAE = 1.489, MAPE = 1.3%, VAF = 99.16%, and an a20-index of 1 for the training datasets. For the testing datasets, it attains an R²=0.97, RMSE = 5.544, MAE = 3.502, MAPE = 3.1%, VAF = 96.43%, and an a20-index of 1. Similarly, the model excels in predicting E with an R²=0.93, RMSE = 3.914, MAE = 2.91, MAPE = 5.2%, VAF = 92.23%, and an a20-index of 1 for training datasets, and an R²=0.92, RMSE = 3.195, MAE = 2.613, MAPE = 4.4%, VAF = 92.22%, and an a20-index of 1 for testing datasets. Also, a sequence of Taylor diagrams was generated to assess the performance of the models. The findings suggest that the ANFIS model is more effective in predicting UCS and E of rocks compared to other methods. However, its application should be approached cautiously, especially at the initial design phase, and limited to specific rock types. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. true true 2025 true true true false true false GOLD 2026-08-05 true https://doi.org/10.1007/s12145-024-01653-4 11 0 11 10 1 11 10 9 5 9 9 9 9 10 1 0 11 10 11 10 0 7 7 Folyóiratcikk Journal Article 24 10 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2025 0 7 6 7 6 2026 0 4 4 4 4 Q1 false false false false 2025-04-08T07:25:04.668+0000 Geotechnika és Mérnökgeológia Tanszék (BME / ÉMK) 2 13 1 2 0 true 10063514 Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 122614608 /api/authorship/122614608 Narimani, Samad ✉ [Narimani Ghourtlar, Samad (Geotechnics, Geol...), szerző] Geotechnika és Mérnökgeológia Tanszék (BME / ÉMK) 1 0.5 true false true Author 10081821 /api/author/10081821 Narimani Ghourtlar Samad (Geotechnics, Geology, Rock Mechanics, Tunneling, Geomechanics, Machine Learning) Narimani Ghourtlar Samad true true Narimani Samad true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 122614609 /api/authorship/122614609 Vásárhelyi, Balázs [Vásárhelyi, Balázs (Kőzetmechanika), szerző] Geotechnika és Mérnökgeológia Tanszék (BME / ÉMK) 2 0.5 false true false Author 10002250 /api/author/10002250 Vásárhelyi Balázs (Kőzetmechanika) Vásárhelyi Balázs true 10002250 true Vásárhelyi Balázs true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 28165918 /api/publicationidentifier/28165918 DOI: 10.1007/s12145-024-01653-4 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1007/s12145-024-01653-4 https://doi.org/10.1007/s12145-024-01653-4 false true PublicationIdentifier 28165919 /api/publicationidentifier/28165919 WoS: 001381247700004 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001381247700004 https://www.webofscience.com/wos/woscc/full-record/001381247700004 false true PublicationIdentifier 28165917 /api/publicationidentifier/28165917 Scopus: 85212765311 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85212765311 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85212765311 false true PublicationIdentifier 28124318 /api/publicationidentifier/28124318 Egyéb URL: https://link.springer.com/10.1007/s12145-024-01653-4 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true IDENTICAL https://link.springer.com/10.1007/s12145-024-01653-4 https://link.springer.com/10.1007/s12145-024-01653-4 false true Keyword 3374 /api/keyword/3374 Hungary true 3374 true Keyword 4002 /api/keyword/4002 Regression Analysis true 4002 true Keyword 4425 /api/keyword/4425 Sensitivity analysis true 4425 true Keyword 12390 /api/keyword/12390 machine learning true 12390 true Keyword 1001459 /api/keyword/1001459 uniaxial compressive strength true 1001459 true Keyword 1004970 /api/keyword/1004970 Compressive Strength true 1004970 true Keyword 1022921 /api/keyword/1022921 Young's modulus true 1022921 true Keyword 1077839 /api/keyword/1077839 shear strength true 1077839 true Keyword 1160324 /api/keyword/1160324 P-wave true 1160324 true Keyword 1179069 /api/keyword/1179069 Machine learning methods true 1179069 true Keyword 1534996 /api/keyword/1534996 Multivariate regression analysis true true Keyword 1575464 /api/keyword/1575464 reservoir rock true true Keyword 3674162 /api/keyword/3674162 Intact granitic rock true true SjrRating 11573831 /api/sjrrating/11573831 sjr:Q1 (2025) Scopus - Earth and Planetary Sciences (miscellaneous) EARTH SCIENCE INFORMATICS 1865-0473 1865-0481 80 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 1901 /api/classificationexternal/1901 Scopus - Earth and Planetary Sciences (miscellaneous) true 1901 true Q1 DIRECT true true Reference 61286309 /api/reference/61286309 1. 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(2025) EARTH SCIENCE INFORMATICS 1865-0473 1865-0481 18 1<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10081821"><a href="/gui2/?type=authors&mode=browse&sel=10081821" target="_blank">Narimani Samad ✉ (<span class="authorship-author-name">Narimani Ghourtlar Samad</span> <span class="authorAux-mtmt"> Geotechnics, Geology, Rock Mechanics, Tunneling...</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Építőmérnöki Kar">ÉMK</span>/Geotechnika és Mérnökgeológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10002250"><a href="/gui2/?type=authors&mode=browse&sel=10002250" target="_blank">Vásárhelyi Balázs (<span class="authorship-author-name">Vásárhelyi Balázs</span> <span class="authorAux-mtmt"> Kőzetmechanika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Építőmérnöki Kar">ÉMK</span>/Geotechnika és Mérnökgeológia Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35667976" target="_blank">Leveraging machine learning for precision prediction of geomechanical properties of granitic rocks: a comparative analysis of MLR, ANN, and ANFIS models</a></div> <div> <span class="journal-title">EARTH SCIENCE INFORMATICS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1865-0473">1865-0473</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1865-0481">1865-0481</a>)</span>: <span class="journal-volume">18</span> <span class="journal-issue">1</span> <span class="page"> Paper 91. 27 p. </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1007/s12145-024-01653-4" target="_blank" href="https://doi.org/10.1007/s12145-024-01653-4"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001381247700004" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001381247700004"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85212765311" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85212765311"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="https://link.springer.com/10.1007/s12145-024-01653-4" target="_blank" href="https://link.springer.com/10.1007/s12145-024-01653-4"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Earth and Planetary Sciences (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 11</span> | Független: 10 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 9 | Scopus jelölt:&nbsp;5 | WoS/Scopus jelölt:&nbsp;9 | DOI jelölt:&nbsp;10 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35667976&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 7 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35667976</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2026.04.22. 20:46 Mikola Katalin (MTMT 3, admin) </div> <div class="lockedBy">Központi kezelésű 2026.04.08. 23:03 Mikola Katalin (MTMT 3, admin) </div> </div></div>