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hyperplane in Chinese

Pronunciation:
How to pronounce "hyperplane""hyperplane" in a sentence

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  • n.
    【數(shù)學(xué)】超平面。

Examples

  • Research on distance from point in to hyperplane in euclidean space
    歐氏空間中點(diǎn)到超平面的距離研究
  • The separating hyperplane of traditional support vector machines is sensitive to noises and outliers
    摘要傳統(tǒng)的支持向量機(jī)分類超平面對噪聲和野值非常敏感。
  • When traditional support vector machines separate data containing noises , the obtained hyperplane is not an optimal one
    使用傳統(tǒng)的支持向量機(jī)對含有噪聲的數(shù)據(jù)分類時，所得到的超平面往往不是最優(yōu)超平面。
  • Svm maps input vectors nonlinearly into a high dimensional feature space and constructs the optimum separating hyperplane in the spade to realize modulation recognition
    支撐矢量機(jī)把各個識別特征映射到一個高維空間，并在高維空間中構(gòu)造最優(yōu)識別超平面分類數(shù)據(jù)，實(shí)現(xiàn)通信信號的調(diào)制識別。
  • The multiple - hyperplane classifier , which is investigated from the complexity of optimization problem and the generalization performance , is the explicit extension of the optimal separating hyperplanes classifier
    多超平面分類器從優(yōu)化問題的復(fù)雜度和運(yùn)行泛化能力兩方面進(jìn)行研究，是最優(yōu)分離超平面分類器一種顯而易見的擴(kuò)展。
  • Chapter 2 has systematically discussed machine learning problem , which is the basic of svm , with statistical learning theory or slt . secondly , chapter 3 has educed the optimal hyperplane from pattern recognition
    第二章探討了支持向量機(jī)理論基礎(chǔ)? ?學(xué)習(xí)問題，尤其是對vapnik等人的統(tǒng)計學(xué)習(xí)理論（ slt ）結(jié)合學(xué)習(xí)問題作了系統(tǒng)的闡述。
  • Pcc takes the normal vector of a hyperplane as the projecting direction , onto which the algebraic sum of all samples " projections is maximized , such that samples in one class can be separated well from the other by this hyperplane
    主分量分類器是在兩類樣本投影代數(shù)和最大的前提下，獲得最佳投影方向(分類面法方向) ，實(shí)現(xiàn)樣本分類。它的不足之處在于： 1
  • For this problem , a separating hyperplane is designed with the principle of maximizing the distance between two class centers , and a novel support vector machine , called maximal class - center margin support vector machine ( mccm - svm ) is designed
    為了解決這個問題，本文以兩個類中心距離最大為準(zhǔn)則建立分類超平面，構(gòu)造一個新的支持向量機(jī)，稱作類中心最大間隔支持向量機(jī)。
  • Is that if a set of points in n - space is cut by a hyperplane , then the application of the perceptron training algorithm will eventually result in a weight distribution that defines a tlu whose hyperplane makes the wanted cut
    ）下的結(jié)論是，如果n維空間的點(diǎn)集被超平面切割，那么感知器的培訓(xùn)算法的應(yīng)用將會最終導(dǎo)致權(quán)系數(shù)的分配，從而定義了一個tlu ，它的超平面會進(jìn)行需要的分割。
  • In addition , all the system states are on the sliding hyperplane at the initial instant , the reaching phase of smc is eliminated and the global robustness and stability of the closed - loop system can be guaranteed with the proposed control strategy
    此外，控制策略使得系統(tǒng)的初始狀態(tài)已經(jīng)處于滑模面上，從而消除了滑?？刂频牡竭_(dá)階段，進(jìn)而確保了閉環(huán)系統(tǒng)的全局魯棒性和穩(wěn)定性。
  • More examples：  1  2  3

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