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TranslationMobile

機(jī)械原理

"theory" in Chinese : n. 1.理論，學(xué)理，原理。 2.學(xué)說，論說 (opp. ...
"machine" in Chinese : n. 1.機(jī)(器)，機(jī)械；機(jī)關(guān)，機(jī)構(gòu)。 2.印刷機(jī)器；縫 ...
"theory of machines and mechanisms" in Chinese : 機(jī)械原理
"machines" in Chinese : 機(jī)器; 馬奇內(nèi)斯; 裝配機(jī)床
"and theory" in Chinese : 經(jīng)驗(yàn)與理論，119
"in theory" in Chinese : 從理論上說; 理論上，理論上講
"s theory" in Chinese : 弗洛倫斯學(xué)說; 戈?duì)柎膶W(xué)說; 赫伯理論; 嘉農(nóng)氏理論
"the theory of the" in Chinese : 事業(yè)理論
"theory" in Chinese : n. 1.理論，學(xué)理，原理。 2.學(xué)說，論說 (opp. hypothesi ...
"theory of" in Chinese : 經(jīng)驗(yàn)的理論，6
"will theory" in Chinese : 意思說
"a theatre of machines" in Chinese : 壞圖解手冊; 機(jī)械圖解手冊
"accessories for machines" in Chinese : 機(jī)器零件
"accounting machines" in Chinese : 會(huì)計(jì)機(jī)器; 會(huì)計(jì)計(jì)算機(jī)器
"agricultural machines" in Chinese : 農(nóng)業(yè)機(jī)械

Examples

Terminology for the theory of machines and mechanisms
機(jī)器理論與機(jī)構(gòu)學(xué)術(shù)語
Quality education and reform in teaching theory of machines and mechanisms
素質(zhì)教育與機(jī)械原理教學(xué)改革
However , this is depend on the accurate simulation on nonlinear transient electromagnetic field , which relate with many aspects , include transient theory of machine , numerical calculation method , solving nonlinear equations , fem mesh generation and so on
但是，這首先要依賴于對電機(jī)非線性瞬態(tài)過程的準(zhǔn)確仿真，涉及到從電機(jī)的瞬態(tài)過程理論、數(shù)值計(jì)算方法、乃至非線性方程組求解和有限元剖分等多方面的問題。
With vrml techniques , the process of co - rotating twin - screw machining is simulated based on the theory of machining with milling cutter , and the machining simulation theory and its key techniques are discussed . the mathematic model and computation are proved correct and feasible through cutting experiment and the model is now applied in practice
該方法和技術(shù)可以有效的支持同向雙螺桿圓柱螺旋面的加工刀具的優(yōu)選。并在用圓柱立銑刀加工同向雙螺桿的理論基礎(chǔ)上，利用vrml技術(shù)，對加工過程及其理論誤差進(jìn)行了仿真，討論了仿真加工的原理和關(guān)鍵技術(shù)。
Because of ineffectiveness of naive bayes model for text classification , this thesis proposed integrating boosting theory of machine learning in classification process , boost naive bayes categorization model through many times training . improved by experiments , mutual information and naive bayes integrated with boosting bring very good precision , recall , and f1 score
鑒于樸素貝葉斯的分類效果不佳，本論文又提出將機(jī)器學(xué)習(xí)中的boosting思想結(jié)合到樸素貝葉斯的分類模型中，對樸素貝葉斯模型進(jìn)行提升，實(shí)驗(yàn)證明，改進(jìn)的互信息和給合了boosting思想的樸素貝葉斯分類模型均產(chǎn)生良好的分類效果?分準(zhǔn)率、分全率及f1值。