空降演習 的英文怎麼說

中文拼音 [kōngjiàngyǎnxí]
空降演習 英文
airborne exercise
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 降 : 降動詞1. （投降） surrender; capitulate 2. （降伏） subdue; vanquish; tame
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 空降 : airborne; land from the air; airborne landing空降兵 airborne troops; airborne force; parachute la...
  • 演習 : manoeuvre; exercise; drill; practice
  1. The drills included rescue rubber dinghies moving in formation, a vertical landing by a rescue helicopter, evacuation of victims by amphibious vehicles, saving people in rapid water through the use of rubber dinghies, vertical evacuation of victims, use of a rope - gun, setting up a rope - bridge over a valley or stream, vertical descent from great heights, and a display of advanced earthquake rescue equipment

    演習的項目包括救生橡皮艇水上分列式直升機垂降救援水陸兩用車撤離災民橡皮艇急流水中救援垂直地形傷患拖吊拋繩槍救援溪谷單索吊橋架設高空垂降，及多項先進的地震救援裝配靜態展示。
  2. It not only could solve the problem of learning on the incremental data sets, but also could considerably reduce the size of traditional decision matrix and avoid the repeated computation in traditional decision matrix algorithm

    這不僅解決了動態數據環境下歸納學習問題，而且能降低矩陣空間規模，避免了傳統決策矩陣演算法中的重復計算。
  3. Moreover, this theory can change the problem in non - linearity space to that in the linearity space in order to reduce the algorithm complexity by using the kernel function idea. svm have become the hotspot of machine learning because of their excellent learning performance

    由於採用了結構風險最小化原則代替經驗風險最小化原則，使得較好的解決了小樣本學習的問題；又由於採用了核函數思想，使它把非線性空間的問題轉換到線性空間，降低了演算法的復雜度。
  4. Mail digital information feature space dimension is very huge. in order to reduce the feature dimension and caused the machine learning algorithm to be feasible, it has utilized feature selection algorithm based on the feature selection measure function. and on the foundation it has researched and designed the feature selection algorithm which combines the genetic algorithms and the feature selection measure function

    郵件數字信息特徵空間維數巨大，為了降低特徵維數，使機器學習演算法可行，運用了基於特徵選擇度量函數的特徵選擇演算法，在此基礎上提出了基於遺傳演算法和特徵選擇度量函數相結合的特徵選擇演算法。
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