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基于組合算法的農(nóng)機(jī)裝備水平預(yù)測分析
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    摘要:

    農(nóng)機(jī)裝備水平預(yù)測是一個復(fù)雜的非線性系統(tǒng),,為克服傳統(tǒng)建模方法在模型選取方面的不足,,提出了滑動窗口—遺傳程序設(shè)計(sliding window—genetic programming, SW—GP)組合算法實現(xiàn)農(nóng)機(jī)裝備水平動態(tài)預(yù)測函數(shù)的自動建模,。在程序設(shè)計時,數(shù)據(jù)采樣采用滑動窗口技術(shù)實現(xiàn),,通過改進(jìn)的GP算法實現(xiàn)系統(tǒng)的自動建模。計算實例結(jié)果表明,,SW—GP組合算法建立的模型預(yù)測值與實際結(jié)果具有很好的一致性,,預(yù)測結(jié)果相對誤差比傳統(tǒng)建模方法明顯降低。

    Abstract:

    Forecast of agricultural machinery equipment level is a complicated non-linear system, whose developmental changes have dual treads of continuity and fluctuation. SW—GP (sliding window—genetic programming) algorithm was provided to implement automatic modeling of dynamic forecast function of agricultural machinery equipment level. In the program, sampling data is obtained by sliding window technology and model is founded automatically by GP-improved algorithm, which can overcome the difficulties of model selection in traditional prediction modeling methods. The results of a computation case show that forecasting values from the model agree well with the real values, which explains that employing SW-GP modeling can settle problem for the modeling of complex agricultural machinery equipment level forecast system satisfactorily.  

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董曉慧,趙韓,馮寶林,許肇云.基于組合算法的農(nóng)機(jī)裝備水平預(yù)測分析[J].農(nóng)業(yè)機(jī)械學(xué)報,2008,39(7):80-84.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):80-84.

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