classification model 中文意思是什麼

classification model 解釋
分類模型
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  2. Classification model is based on typical rough set theory and entropy theory, select the attribute according to entropy theory, determine the equivalence classes according to indiscernible relation, then extract the classification rules

    分類模型是以經典的粗糙集合理論和信息熵理論為基礎，依據信息熵理論對屬性進行篩選，依據不可區分關系確定等價類，從而提取決策規則。
  3. The destination of classification is to learn a classification function or classification model that can map a data item to a preassigned class

    分類的目的是學會一個分類函數或分類模型，該模型能把數據庫中的數據項映射到給定類別中的某一個。
  4. Therefore, it is a puzzle to study the classification model, increase the class number and improve the detection ratio according to the classic classification algorithms

    因此，不管是分類模型的建立，還是分類類別數目的擴展和分類率的提高，難度都相當大。
  5. Since scientific papers are usually semi - structural documents, a hierarchy classification model based on the metadata of scientific papers is proposed, where the metadata include the titles, keyword sets, abstracts and so on

    摘要針對科技論文具有半結構化的特點，提出利用科技論文的元數據的多層次分類模型。
  6. Secondly, decision tree classification model and logistic regression model are performed to rock mass quality assessment, based on sas / enterprise miner

    應用sas enterpriseminer系統的決策樹分類演算法和logistic回歸演算法進行巖體的質量分級評價。
  7. In this paper, we presented a gas classification model which based on synthetic consideration of all the processing methods

    結合氣體等級識別的要求，在綜合各種信號處理方法的基礎上，提出了基於電子鼻的氣體等級鑒別模型。
  8. 3 ) semantic classification model based som network we use the classification model to combines attributes within a database. this is done using an unsupervised learning algorithm. the output is used as training data for the next stage

    3 ）基於som網路的語義分類模型設計建立som網路模型，將元數據特徵向量進行分類，形成bp網路的目標向量，用於匹配規則的提取。
  9. A personality - based instant messaging software user classification model

    基於人格特徵的即時通訊軟體用戶分類模型
  10. Bayesian classification model based on attribute correlation analysis

    基於屬性相關性分析的貝葉斯分類模型
  11. In the fourth section of the thesis, the method that constructing statistical features based - on time for connection records and using these features to construct classification models were studied in detail. in order to improve the accuracy of classification model and decrease the rate of false positive, some factors that may have bad influence on accuracy of classification model were analyzed and the method of selecting appropriate set of features was also provided

    論文的第四部分，詳細研究了使用網路連接記錄的基本特徵屬性構建基於時間的統計特徵屬性方法，通過選擇適當的特徵屬性集來提高異常檢測模型的分類精度，降低誤報率；同時分析了影響檢測模型分類精度的因素；對不同實驗條件下得到的實驗結果進行了比較和分析。
  12. The results of trial indicate classification models constructed by this set of features can find an obvious threshold to distinguish between a normal network activity and an abnormal one. so the anomaly classification model offered in this thesis has better performance of detection

    通過大量的實驗，表明應用我們所提出的基於網路連接記錄異常檢測分類模型的構建方法，能夠以較為明顯的閾值把正常網路活動與異常網路活動區分開，因此，本文提出的異常檢測分類模型具有較好的檢測性能。
  13. Based on the characteristics of the crossfeed surface between the concrete dam body and foundation, the evaluation index and classification model for the crossfeed surface are established by using the dominant surface theory

    摘要基於混凝土壩壩體與壩基互饋作用面的特性，運用優勢面理論建立了壩體與壩基互饋優勢面的評價指標和分類模型。
  14. In our research, variation of contour line is used for describing the characteristics of image structure. using teacher images and machine learning method, an image direction classification model is built as a decision tree. test results argued the validity of this method

    本課題使用圖像輪廓線向量特徵來反映圖像的構圖特徵，通過教師實例獲得用戶的方向分類概念，然後利用決策樹的學習建立分類模型，並且在此分類模型的基礎上實現了一個圖像正立方向判別系統。
  15. At the same time, after successful absorbent of the factor of misclassification cost into splitting principle of decision tree algorithm, the classification model gets a high improvement in accuracy and adaptation

    同時，在傳統的決策樹演算法的分裂準則中成功引入了誤分代價的因素，從而提高了分類模型的準確性和適用性。
  16. Data mining is the key step of kdd, which concerns on database, artificial intelligence, and statistics, etc. classification is the important content of data mining, which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ). therefore, we can predict the unlabelled object classes with the classification model

    分類是數據挖掘的一個重要內容，它通過構造一個分類函數或分類模型（也常稱作分類器） ，把數據庫中的數據項映射到給定類別中的某一個，從而能夠使用該模型來預測類標號未知的對象類。
  17. A construction approach of user profiles based on classification model

    基於分類模板的用戶模型構造方法
  18. To solve this probiem, this thesis prov i des a domain - based vector space mode 1 by bu i 1 di ng a classification model and offer i ng the method to cal culate the documents " weight in the domains

    針對此問題，本文提出一種基於領域的向量空間模型，建立了一個領域分類模型，並給出了計算信息在各領域中權值的方法。
  19. The applied of demodulation with esa is advanced with which diagnosis precision has been improved, and real time diagnosis and accuracy ratio are satisfied on bearing production line. automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced. the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically

    第三章提出了一種自適應小波變換網路與自組織特徵映射網路（ self - organizingfeaturemapnetwork - somn ）集成的故障自動分類模型，該模型把小波的時頻局部化優點與神經網路的自學習、非線性映射能力有機結合起來，把高維測量空間中的非平穩信號復雜信息映射到易於分類的二維空間，實現了軸承故障自動分類。
  20. According to some right logging data and the theories of nerve network and fuzzy identify, an accurate reasonable classification model for the reservoir is established ; 2

    選擇合適的測井數據，應用神經網路理論及模糊識別理論，建立準確、合理的儲層分類模型； 2
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