The structure of the ANEAT model corresponds to the optimal species genome.
<p>The structure of the ANEAT model corresponds to the optimal species genome.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852022572362760192 |
|---|---|
| author | Wenbing Shi (5806160) |
| author2 | Ji Huang (295410) Gaoming Yang (7464977) Shuzhi Su (20760086) Shexiang Jiang (20760089) |
| author2_role | author author author author |
| author_facet | Wenbing Shi (5806160) Ji Huang (295410) Gaoming Yang (7464977) Shuzhi Su (20760086) Shexiang Jiang (20760089) |
| author_role | author |
| dc.creator.none.fl_str_mv | Wenbing Shi (5806160) Ji Huang (295410) Gaoming Yang (7464977) Shuzhi Su (20760086) Shexiang Jiang (20760089) |
| dc.date.none.fl_str_mv | 2025-02-20T18:27:53Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0317461.g010 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_structure_of_the_ANEAT_model_corresponds_to_the_optimal_species_genome_/28453184 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified transfer function using pointwise intensity transformation lightweight network architecture constructing smart mines complicated natural disaster initial genome code evolutionary neural network div >< p imbalanced data samples neuroevolution </ p neuroevolution algorithm genome mutation evolutionary generations augmented samples rmse </ mae </ evar </ test set species differentiation sample features results show precision mapping population initialization paper proposes outburst risk optimal phenotype multiple aspects method comparisons insufficient diversity gas outburst fitness evaluation feature parameters data augmentation |
| dc.title.none.fl_str_mv | The structure of the ANEAT model corresponds to the optimal species genome. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The structure of the ANEAT model corresponds to the optimal species genome.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_c26e563dbe92beeacabb084e82bf8122 |
| identifier_str_mv | 10.1371/journal.pone.0317461.g010 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28453184 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The structure of the ANEAT model corresponds to the optimal species genome.Wenbing Shi (5806160)Ji Huang (295410)Gaoming Yang (7464977)Shuzhi Su (20760086)Shexiang Jiang (20760089)GeneticsBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtransfer function usingpointwise intensity transformationlightweight network architectureconstructing smart minescomplicated natural disasterinitial genome codeevolutionary neural networkdiv >< pimbalanced data samplesneuroevolution </ pneuroevolution algorithmgenome mutationevolutionary generationsaugmented samplesrmse </mae </evar </test setspecies differentiationsample featuresresults showprecision mappingpopulation initializationpaper proposesoutburst riskoptimal phenotypemultiple aspectsmethod comparisonsinsufficient diversitygas outburstfitness evaluationfeature parametersdata augmentation<p>The structure of the ANEAT model corresponds to the optimal species genome.</p>2025-02-20T18:27:53ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0317461.g010https://figshare.com/articles/figure/The_structure_of_the_ANEAT_model_corresponds_to_the_optimal_species_genome_/28453184CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284531842025-02-20T18:27:53Z |
| spellingShingle | The structure of the ANEAT model corresponds to the optimal species genome. Wenbing Shi (5806160) Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified transfer function using pointwise intensity transformation lightweight network architecture constructing smart mines complicated natural disaster initial genome code evolutionary neural network div >< p imbalanced data samples neuroevolution </ p neuroevolution algorithm genome mutation evolutionary generations augmented samples rmse </ mae </ evar </ test set species differentiation sample features results show precision mapping population initialization paper proposes outburst risk optimal phenotype multiple aspects method comparisons insufficient diversity gas outburst fitness evaluation feature parameters data augmentation |
| status_str | publishedVersion |
| title | The structure of the ANEAT model corresponds to the optimal species genome. |
| title_full | The structure of the ANEAT model corresponds to the optimal species genome. |
| title_fullStr | The structure of the ANEAT model corresponds to the optimal species genome. |
| title_full_unstemmed | The structure of the ANEAT model corresponds to the optimal species genome. |
| title_short | The structure of the ANEAT model corresponds to the optimal species genome. |
| title_sort | The structure of the ANEAT model corresponds to the optimal species genome. |
| topic | Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified transfer function using pointwise intensity transformation lightweight network architecture constructing smart mines complicated natural disaster initial genome code evolutionary neural network div >< p imbalanced data samples neuroevolution </ p neuroevolution algorithm genome mutation evolutionary generations augmented samples rmse </ mae </ evar </ test set species differentiation sample features results show precision mapping population initialization paper proposes outburst risk optimal phenotype multiple aspects method comparisons insufficient diversity gas outburst fitness evaluation feature parameters data augmentation |