本文選題：多學(xué)科設(shè)計優(yōu)化 + 預(yù)測方法�。� 參考：《船海工程》2016年02期

【摘要】：介紹一種依據(jù)多學(xué)科設(shè)計優(yōu)化理論,適用于大型艦艇淡水用水量預(yù)測的方法。該方法通過確定日用水系統(tǒng)參數(shù),協(xié)調(diào)與其余系統(tǒng)的耦合關(guān)系,有助于艦艇的多學(xué)科集成優(yōu)化。預(yù)測過程首先分析大型艦艇淡水使用規(guī)律,針對多學(xué)科集成優(yōu)化設(shè)計要求,選取"日用水量"和"時用水量"建模,綜合考慮影響因素和時間序列數(shù)據(jù),建構(gòu)預(yù)測組合模型,通過BP神經(jīng)網(wǎng)絡(luò)求解模型,得出預(yù)測值。
[Abstract]:A method for predicting freshwater water consumption of large ships based on multidisciplinary design optimization theory is introduced. By determining the parameters of the daily water system and coordinating the coupling relationship with the other systems, this method is helpful to the multidisciplinary integration optimization of ships. In the forecasting process, first of all, the law of freshwater use of large ships is analyzed. According to the requirements of multidisciplinary integrated optimization design, the "daily water consumption" and "hourly water consumption" models are selected, and the forecasting combination model is constructed by considering the influence factors and time series data synthetically. BP neural network is used to solve the model and the prediction value is obtained.
【作者單位】： 海軍裝備部駐426廠軍事代表室;中國艦船研究設(shè)計中心;
【基金】：國家部委基金資助項目
【分類號】：U674.70
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本文編號：1901194