發(fā)布時間：2018-05-15 01:17

  本文選題：番茄 + 改進型魚群算法　； 參考：《農(nóng)業(yè)機械學(xué)報》2016年01期

【摘要】：針對光溫耦合條件下番茄光環(huán)境調(diào)控目標(biāo)值難以快速、精確獲取的問題,在光溫嵌套光合速率試驗結(jié)果基礎(chǔ)上,為提高人工魚群算法尋優(yōu)速度,基于視野和步長動態(tài)調(diào)整思想,提出了改進型魚群算法的光溫耦合尋優(yōu)方法,對不同溫度下光飽和點進行快速精準(zhǔn)尋優(yōu),建立了番茄光環(huán)境調(diào)控目標(biāo)值模型,模型決定系數(shù)為0.999 9。驗證試驗結(jié)果表明,不同溫度下光飽和點的模型計算值與實測值高度線性相關(guān),相關(guān)系數(shù)為0.988,最大相對誤差在±2%內(nèi),明顯優(yōu)于遺傳算法構(gòu)建模型的相對誤差(±6%)�？焖佟討B(tài)獲取不同溫度下光飽和點,對設(shè)施光環(huán)境精準(zhǔn)調(diào)控效率具有重要意義。
[Abstract]:In order to improve the optimization speed of artificial fish swarm algorithm, aiming at the problem that it is difficult to obtain the target value of tomato light environment regulation quickly and accurately under the condition of light and temperature coupling, based on the idea of dynamic adjustment of visual field and step size, based on the experiment results of light and temperature nesting photosynthetic rate, In this paper, an improved fish swarm algorithm is proposed, which can be used to optimize the light saturation point quickly and accurately at different temperatures. The target value model of tomato light environment regulation is established, and the determining coefficient of the model is 0.999 9. The experimental results show that the calculated values of the light saturation point at different temperatures are linearly correlated with the measured values, the correlation coefficient is 0.988, and the maximum relative error is within 鹵2%, which is obviously superior to the relative error (鹵6%) of the genetic algorithm in constructing the model. It is very important to obtain the saturation point of light at different temperature quickly and dynamically, which is very important to the precision control efficiency of facility light environment.
【作者單位】： 西北農(nóng)林科技大學(xué)機械與電子工程學(xué)院;
【基金】：國家自然科學(xué)基金項目(31501224) “十二五”國家科技支撐計劃項目(2012BAH29B04) 陜西省科學(xué)技術(shù)研究發(fā)展項目(2013K02-03、2014K08-02-03、2014K02-08-02)
【分類號】：S641.2;TP18
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本文編號：1890324