支持向量機 的英文怎麼說

中文拼音 [zhīchíxiàngliángjī]
支持向量機 英文
support vector machine
  • 支 : Ⅰ名詞1 （分支; 支派） branch; offshoot 2 （地支） the twelve earthly branches3 （姓氏） a surname...
  • 持 : 動詞1 （拿著; 握著） hold; grasp 2 （持有; 保持） keep; hold 3 （支持; 保持） support; maintain 4...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 機 : machineengine
  • 支持 : 1. （勉強維持） sustain; hold out; bear 2. （給予鼓勵或贊助） support; back; stand by
  1. The support vector machine method for analogizing and forecasting groundwater data

    地下水觀測數據擬合與預測的支持向量機方法
  2. Study of telecom customer arrear evaluation based support vector machine

    基於免疫進化支持向量機的年用電量預測
  3. To overcome the disadvantages of the linear calibration methods such as mlr and pls, least - squares support vector machine ( ls - svm ) is introduced to nir quantitative calibration in this thesis. for a set of diesel cetane number ( cn ) samples, the ls - svm model obtains the best performance in the cn prediction, compared with the mlr and pls model

    為克服mlr與pls等線性校正方法的局限性，本文將最小二乘支持向量機（ ls - svm ）演算法用於近紅外光譜的定量校正，並以一批柴油十六烷值樣品數據為例對以上方法進行了比較。
  4. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  5. The separating hyperplane of traditional support vector machines is sensitive to noises and outliers

    摘要傳統的支持向量機分類超平面對噪聲和野值非常敏感。
  6. When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one

    使用傳統的支持向量機對含有噪聲的數據分類時，所得到的超平面往往不是最優超平面。
  7. 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理論基礎? ?學習問題，尤其是對vapnik等人的統計學習理論（ slt ）結合學習問題作了系統的闡述。
  8. 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則建立分類超平面，構造一個新的支持向量機，稱作類中心最大間隔支持向量機。
  9. The long term prediction of annual electricity consumption based on iea - svm model

    基於支持向量機的電信客戶欠費評估
  10. According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis ， then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5

    再次，為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能，在第四、第五兩章運用模糊集理論（ fst ）和粗糙集理論（ rst ）對支持向量機進行研究，採用優勢互補原則，先是把模糊集與支持向量機有機結合，構造出基於模糊集的支持向量機（ fssvm ） ，然後把粗糙集理論與支持向量機相互結合，進而把rst與fssvm相互結合，構造出基於rst的支持向量機。
  11. Predictive coding based on support vector machine

    基於支持向量機的圖像預測編碼演算法
  12. Application of support vector machines in examination of worn striation mark

    支持向量機方法在線條痕跡檢驗中的應用
  13. A subsection learning algorithm based on

    基於支持向量機的分段線性學習方法
  14. Application of support vector machines in traffic volume forecast

    支持向量機在交通量預測中的應用
  15. Through the experiment, we test its feasibility. 3 、 to solve the insufficiency of the svm method, the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition, and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster

    3 、針對支持向量機方法在自動獲取性能方面的不足，探索提出了基於相似度計算的動詞次范疇獲取演算法，並分別使用了兩種不同的句子相似度獲取演算法:向量空間模型和基於詞類串句子結構相似度獲取演算法，用於動詞次范疇類獲取。
  16. Forecasting calorific value of coal with the method of least - squares support vector machine

    應用最小二乘支持向量機預測煤的發熱量
  17. A study of loess collapsibility by combining least squares support vector machines with particle swarm optimization algorithm

    組合最小二乘支持向量機與粒子群優化演算法研究黃土濕陷性
  18. The support vector classifier is adopted to identify fault in the two types, and the grid search method based on cross - validation is chosen to determine model parameters

    該模型將變壓器故障分為放電性和過熱性兩大類，通過統計分析尋求特徵量區分類間的故障類型，採用支持向量機識別類內的故障類型，利用基於交叉驗證的網格搜索法來確定支持向量機的參數。
  19. Support vector machine for curve approximation

    一種基於支持向量機的曲線逼近方法
  20. The support vector machine composed by least sequence and directed acyclic graph algorithm has been used in paper currency identification, shows the advantages of capability in dealing with scared samples, nonlinear and high dimensions

    將次序最小優化改進演算法和有向無環圖演算法構建的支持向量機用於貨幣識別，充分發抨了支持向量機解決小樣本、非線性和高維模式識別問題的優點。
分享友人
分享到 Line

分享到臉書