Flowchart of SSA-XGBoost model.

<div><p>Population prediction could provide effective data support for social and economic planning and decision-making, especially for the sub-national population forecasting accurately. In addition to realizing efficient smart population management, this research focuses primarily on t...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক:	Jin Wang (29560) (author)
অন্যান্য লেখক:	Shihan Ma (9362796) (author), Qing Lv (63057) (author), Qiang Li (8118) (author)
প্রকাশিত:	2025
বিষয়গুলি:	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
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Flowchart of SSA-XGBoost model.

অনুরূপ উপাদানগুলি