计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
10期
167-171,179
,共6页
模糊神经网络%粒子群优化%备品配件%用量预测
模糊神經網絡%粒子群優化%備品配件%用量預測
모호신경망락%입자군우화%비품배건%용량예측
Fuzzy neural network%Particle swarm optimisation%Spare parts and components%Demand forecasting
关键备品配件是复杂装备的核心部件，关键备件的使用量预测对复杂装备的运行维护工作具有重要意义。提出一种基于模糊神经网络和粒子群算法的两段式的复杂装备关键备品使用量的预测方法，作为设备密集型企业备品配件管理工作提供科学的决策支撑。以某企业的实际备品配件相关数据作为实验数据集，以双重指数平滑、移动平均、传统模糊神经网络和该方法作为比较算法，验证了该方法的有效性。
關鍵備品配件是複雜裝備的覈心部件，關鍵備件的使用量預測對複雜裝備的運行維護工作具有重要意義。提齣一種基于模糊神經網絡和粒子群算法的兩段式的複雜裝備關鍵備品使用量的預測方法，作為設備密集型企業備品配件管理工作提供科學的決策支撐。以某企業的實際備品配件相關數據作為實驗數據集，以雙重指數平滑、移動平均、傳統模糊神經網絡和該方法作為比較算法，驗證瞭該方法的有效性。
관건비품배건시복잡장비적핵심부건，관건비건적사용량예측대복잡장비적운행유호공작구유중요의의。제출일충기우모호신경망락화입자군산법적량단식적복잡장비관건비품사용량적예측방법，작위설비밀집형기업비품배건관리공작제공과학적결책지탱。이모기업적실제비품배건상관수거작위실험수거집，이쌍중지수평활、이동평균、전통모호신경망락화해방법작위비교산법，험증료해방법적유효성。
Key spare parts are the core components of the complex equipment,forecasting the demanded amount of key spare parts has great significance to the operation and maintenance of the complex equipments.We propose a two-stage forecasting method for the demanded amount of complex equipments,which is based on fuzzy neural network (FNN)and particle swarm optimisation and is used as the scientific decision-making support provided for the equipment intensive enterprises in their spare parts and components management work.Taking the correlated data of practical spare parts and components in a certain enterprise as the experimental dataset,we verify the effectiveness of the proposed method by using double exponential smoothing (DES),moving average (MA),traditional FNN and this method as the comparison algorithms.
