基于BP神經(jīng)網(wǎng)絡(luò)的地震應(yīng)急物資需求預(yù)測(cè)研究
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中圖分類號(hào)：F251 文獻(xiàn)標(biāo)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(zāi)害作為自然界中較為嚴(yán)重的自然災(zāi)害之一，其頻繁發(fā)生對(duì)人類社會(huì)造成了巨大的破壞和深遠(yuǎn)的影響。（剩余6144字）