缺陷映射 的英文怎麼說

中文拼音 [quēxiànyìngshè]
缺陷映射 英文
defect map
  • 缺 : Ⅰ動詞1 （缺乏; 短少） be short of; lack 2 （殘缺） be missing; be incomplete 3 （該到而未到） be ...
  • 陷 : Ⅰ名詞1 （陷阱） pitfall; trap2 （缺點） defect; deficiency Ⅱ動詞1 （掉進） get stuck or bogged do...
  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 缺陷 : defect; fault; faultiness; vitium; lesion; flaw; disorder; imperfection; drawback; blemish
  1. The bp neural network has the ability to solve many practical problems because of its strong mapping. however, it has slow convergence rate and is prone to fall into local extremum

    Bp神經網路具有很強的映射能力，可以解決許多實際問題，但同時還存在著收斂速度慢，易陷於局部極小的缺點。
  2. Bp ( back propagation ) algorithm is the most popular training algorithm in applications for its non - linear mapping approach capability and robustness. however, it has some defects, such as converging slowly and immersing in local vibration frequently

    Bp演算法以其良好的非線性映射逼近能力和泛化能力以及易實現性成為人工神經網路應用最廣泛的訓練演算法，但是bp演算法也有其明顯的缺陷，即訓練速度慢、容易陷入局部極值等。
  3. The simulation data of the flexible projecting beam with different crack flaw is different. so we can build bp neutral - work to identify the position and the length of the crack in the flexible projecting beam by the simulation data. the input vector of bp neutral - work is the simulation data becomes, the training object is the position and the length of the mapping crack

    Bp神經網路是一種多層的前饋型人工神經網路，可實現從輸入到輸出的任意非線性映射，所以選取bp神經網路可以有效地實現從觀測信號到裂縫所處位置以及裂縫長度的非先行映射，以達到對柔性懸臂樑上裂縫缺陷的智能診斷。
  4. Adopting the globe pole mapping method of space analytic geometry, forming a topological mapping model from the high dimensionality vector to the low one, and then realizing a corresponding mapping from the rectangular matrix high dimensionality space text set to the low dimensionality space text set, finally, composing the corresponding arithmetics, accordingly solving the problem of nonlinear dimensionality reduction for text mining effectively, and overcoming some drawbacks in the former researches

    摘要採用了空間解析幾何中的球極映射方法，形成高維向量到低維向量的拓撲變換模型，實現了矩陣形式的高維空間文本集合到低維空間文本集合的一一映射，編制了相應的演算法，從而有效地解決了文本挖掘中的非線性降維問題，克服了以往研究中的缺陷。
  5. These geometry images are then sent to the image processing toolboxes for varaints of filtering effects. 3d filtered models can be created via reconstruction from these filtered images

    在紋理造型方面，針對傳統的三維彩繪技術利用紋理映射和參數化方法的缺陷，提出一種新穎的數據表示以實現在任意三角網格模型上直接進行三維彩繪。
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