husking 中文意思是什麼

husking 解釋
n. 名詞 1. 〈美國〉剝玉米包皮。
2. 〈美國〉農家碾米會〈指鄰舍、親友邊碾米邊聊天的聚會，又叫 husking-bee〉。

  1. Our newly developed automated ( central quantification ) small - pack rice packaging machinery is also popular among domestic rice - husking mills. our own r & d products have been granted patents in taiwan and overseascountries

    另外本公司也研製碾米廠專用，小包裝米自動化設備（集中計量包裝機） ，供國內各大碾米廠使用，聞名于全國。而本公司所研發之產品，獲得國內外多項專利認可，絕無仿造其他廠商之產品。
  2. Seed - husking plant is the key unit of combine, whose improvement and perfection is mainly based on the nonlinear mathematical model of the threshing performance with its influencing factors

    脫粒裝置是聯合收獲機械的核心部件，它的改進與完善是以脫粒性能與其影響因素之間的非線性模型為基礎的。
  3. In the process of threshing, the significance of factors, which influence threshing performance, not only include some certain factors such as feed quantity, cylinder rotary speed, distance between cylinder and concave, thresher concave radian but also include some uncertain factors such as the crop ' s variety, water content and the proportion of cereal straw. for this reason, the seed - husking plant is system with a character of uncertain, multi - input - output and complex nonlinear

    脫粒裝置的工作過程極為復雜，影響脫粒性能的因素很多，除了喂入量、滾筒轉速、凹板長度與入口間隙等確定性因素外，還有作物品種、作物含水率以及穀草比等一些不確定性因素，因此脫粒裝置是一個具有不確定性、多輸入多輸出的復雜非線性系統。
  4. In this paper, we first analyze each factor of influencing threshing performance, and deficiency of all traditional methods such as single factor, orthogonal experiment, variance analysis and regression analysis, which have been used to study the threshing performance. in the basis of above analysis, we propose a new method of threshing performance modeling - a bp neural network. by use the new ways of threshing performance modeling - a bp neural network, we can obtain the optimum model of threshing performance, which can better describe the seed - husking plant ' s feature of complex nonlinear, multi - input - output and indefinite

    本文首先分析了影響脫粒裝置性能的各個因素以及傳統研究脫粒性能的各種方法如單因素法、正交試驗法、方差分析法以及回歸分析法的缺陷，在此基礎上提出了採用bp神經網路對脫粒裝置性能模型進行優化，採用這種方法優化脫粒裝置性能模型可以更好地刻劃脫粒裝置所具有的多輸入多輸出、復雜非線性以及不確定性等特徵。
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