Box plots of the fitness function across independent runs.
<p>Box plots of the fitness function across independent runs.</p>
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2025
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| _version_ | 1852019033680904192 |
|---|---|
| author | Jin Wang (29560) |
| author2 | Shihan Ma (9362796) Qing Lv (63057) Qiang Li (8118) |
| author2_role | author author author |
| author_facet | Jin Wang (29560) Shihan Ma (9362796) Qing Lv (63057) Qiang Li (8118) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jin Wang (29560) Shihan Ma (9362796) Qing Lv (63057) Qiang Li (8118) |
| dc.date.none.fl_str_mv | 2025-06-25T17:52:30Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0320298.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Box_plots_of_the_fitness_function_across_independent_runs_/29406433 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm population forecasts due population dynamic monitoring mobile phone signals high population density different metaheuristic algorithms research focuses primarily mean squared error reliable predictive model div >< p 2 </ sup improve forecast accuracy better prediction performance xgboost model demonstrates proposed predictive model demographic data forecast effectively forecast research compared higher error demographic data better r combination model base model verified based various gradient validation show time characteristics reasonable parameters predicted data national regions machine learning learning models hebei province following year economic planning comparative experiments boosting machine |
| dc.title.none.fl_str_mv | Box plots of the fitness function across independent runs. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Box plots of the fitness function across independent runs.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_dcdcc673d3ca1db795bb387021c0a0c9 |
| identifier_str_mv | 10.1371/journal.pone.0320298.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29406433 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Box plots of the fitness function across independent runs.Jin Wang (29560)Shihan Ma (9362796)Qing Lv (63057)Qiang Li (8118)EcologyScience PolicyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsparrow search algorithmpopulation forecasts duepopulation dynamic monitoringmobile phone signalshigh population densitydifferent metaheuristic algorithmsresearch focuses primarilymean squared errorreliable predictive modeldiv >< p2 </ supimprove forecast accuracybetter prediction performancexgboost model demonstratesproposed predictive modeldemographic data forecasteffectively forecastresearch comparedhigher errordemographic databetter rcombination modelbase modelverified basedvarious gradientvalidation showtime characteristicsreasonable parameterspredicted datanational regionsmachine learninglearning modelshebei provincefollowing yeareconomic planningcomparative experimentsboosting machine<p>Box plots of the fitness function across independent runs.</p>2025-06-25T17:52:30ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0320298.g008https://figshare.com/articles/figure/Box_plots_of_the_fitness_function_across_independent_runs_/29406433CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294064332025-06-25T17:52:30Z |
| spellingShingle | Box plots of the fitness function across independent runs. Jin Wang (29560) Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm population forecasts due population dynamic monitoring mobile phone signals high population density different metaheuristic algorithms research focuses primarily mean squared error reliable predictive model div >< p 2 </ sup improve forecast accuracy better prediction performance xgboost model demonstrates proposed predictive model demographic data forecast effectively forecast research compared higher error demographic data better r combination model base model verified based various gradient validation show time characteristics reasonable parameters predicted data national regions machine learning learning models hebei province following year economic planning comparative experiments boosting machine |
| status_str | publishedVersion |
| title | Box plots of the fitness function across independent runs. |
| title_full | Box plots of the fitness function across independent runs. |
| title_fullStr | Box plots of the fitness function across independent runs. |
| title_full_unstemmed | Box plots of the fitness function across independent runs. |
| title_short | Box plots of the fitness function across independent runs. |
| title_sort | Box plots of the fitness function across independent runs. |
| topic | Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified sparrow search algorithm population forecasts due population dynamic monitoring mobile phone signals high population density different metaheuristic algorithms research focuses primarily mean squared error reliable predictive model div >< p 2 </ sup improve forecast accuracy better prediction performance xgboost model demonstrates proposed predictive model demographic data forecast effectively forecast research compared higher error demographic data better r combination model base model verified based various gradient validation show time characteristics reasonable parameters predicted data national regions machine learning learning models hebei province following year economic planning comparative experiments boosting machine |