基于BP神經網絡的地震應急物資需求預測研究

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中圖分類號：F251 文獻標志碼：A DOI： 10.13714/j.cnki.1002-3100.2025.08.012

Abstract： Accurate predictionof emergencymaterial demand is crucial for enhancing China's earthquake emergencyrescue capabilities.Byconstructinga prediction model basedon the Back Propagation Neural Network，this study selects earthquake magnitude，tieinethethquakeicetertesityisicortiicationlevelartquakefrecastingopuatiosity andaectedareaasinputlayereuronswiththefectedpopulationasteoutputlayerneuron，achievingprecisepredictionof earthquakecasualties.Furthermore，byintegratingtherelationshipetweenthenumberofaffectedpeopleandthematerialdemand， thedemandforcriticalemergencymaterals（suchasdrinkingwaterandclothing）afteranearthquakeisestimated.Troughepiical analysis，teefectivenessand practicalityofthis modelinpredictingtheafected populationandemergencymaterialdeandare verified.

Key Words：earthquake prediction;Back Propagation Neural Network; emergency material demand prediction

地震災害作為自然界中較為嚴重的自然災害之一，其頻繁發(fā)生對人類社會造成了巨大的破壞和深遠的影響。（剩余6144字）