預分類 的英文怎麼說
中文拼音 [yùfēnlèi]
預分類
英文
presort-
An arrear predicting model based on support vector machine in telecom
分類器的電信欠費預測模型Using auc to evaluate predictive performance of classifiers
評估分類器的預測性能The level with different according to, budgetary defray can have different classified method
依照不同的標準，預算支出可以有不同的分類方法。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。The existing problems in the design of reservoir flood operations is analyzed, then aiming at the insufficience of the typical flood, the method for reservoir flood operation with classified forecast is presented in this paper
摘要在分析水庫防洪調度設計存在問題的基礎上，針對典型過程代表性的不足，本文提出了水庫防洪分類預報調度設計方法。Preventing means stopping breakdown from taking measures ahead and it will shortening time of maintenance and break down of the machine and turn onrush maintenance into keeping machine sets in good condition, therefore, it ' s a good way to have equipment classified in abc and take a good advantage of limited equipment managing source to make point - check more functional
預防主要是為了防患於未然，變突擊維修為狀態維修，縮短維修時間和便於生產計劃的調整，減少停產損失。為此，對設備進行abc分類管理，以有效利用有限的設備管理資源；健全點檢制度，明確點檢內容，使得點檢工作更有成效；重視設備建設期的管理，掌握設備的初期狀態，既可節約建設期的費用，又利於生產期的費用的節約。In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection
首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。Abstract : the preventing and remedying desertification puts into practice prevention as main, principle of combining ecology protection with prevensing and remedying, principle of preventing and remedy and economy development and utilization coodinated and promoting, comprehensive preventing and remedying and chassified control combines, public particlpation and renovating person benifits combine for different responsibility body bearing different responsibility bearing principle, becanse of man - made fault causing desartification preventing and remedying responsibility carrying out action - person bearing principle, principle of gorernment mainly bearing desertification recovery caused by nature action and benifit ' s person undertaking reasonable burban and decide unified planing system, systen of desertification status investigation and monitoring early warning system, fallow, limited cultivating hand and help - the poor combined systen, prohibitory systan, priority region and urgent - action region system
文摘:沙漠化防治實行預防為主，生態保護與防治結合原則，防治與經濟開發利用相協調促進原則；綜合防治與分類控制相結合；公眾參與和整治者受益結合；對不同責任主體實行不同責任承擔原則，由人為不當活動造成的沙漠化治理責任，實行行為者負擔原則；對自然作用造成的沙漠化治理實行政府負擔為主，受益者合理負擔原則；確立統一規劃制度；沙漠化狀況調查評估與監測預警制度，休耕限耕和扶貧結合制度，禁限制度，優先區域與緊急行動區域制度。The preventing and remedying desertification puts into practice prevention as main, principle of combining ecology protection with prevensing and remedying, principle of preventing and remedy and economy development and utilization coodinated and promoting, comprehensive preventing and remedying and chassified control combines, public particlpation and renovating person benifits combine for different responsibility body bearing different responsibility bearing principle, becanse of man - made fault causing desartification preventing and remedying responsibility carrying out action - person bearing principle, principle of gorernment mainly bearing desertification recovery caused by nature action and benifit ' s person undertaking reasonable burban and decide unified planing system, systen of desertification status investigation and monitoring early warning system, fallow, limited cultivating hand and help - the poor combined systen, prohibitory systan, priority region and urgent - action region system
沙漠化防治實行預防為主，生態保護與防治結合原則，防治與經濟開發利用相協調促進原則；綜合防治與分類控制相結合；公眾參與和整治者受益結合；對不同責任主體實行不同責任承擔原則，由人為不當活動造成的沙漠化治理責任，實行行為者負擔原則；對自然作用造成的沙漠化治理實行政府負擔為主，受益者合理負擔原則；確立統一規劃制度；沙漠化狀況調查評估與監測預警制度，休耕限耕和扶貧結合制度，禁限制度，優先區域與緊急行動區域制度。This problem of the human site or living space is not simply that of knowing whether there will be enough space for men in the world - a problem that is certainly quite important - but also that of knowing what relations of propinquity, what type of storage, circulation, marking, and classification of human elements should be adopted in a given situation in order to achieve a given end
人們選址和生存空間的問題不只是象搞清楚世界上是否有足夠的空間給人類（這個問題當然很重要）那麼簡單，而是了解親緣關系，了解人類諸要素中，哪些要素為了達成特定的（假定的，預設的）結果，其存儲、循環、標記和分類，將被採用在特定的（假定的，預設的）情景裏面。Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm
論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點，提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理，隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。Subsequently, i will establish the simple forecast model ( sfm ) to solve the stock price forecast problem. then i seriate the decision function in the progress of svm, accordingly the simple forecast arithmetic ( sfa ), which is used to solved the sfm, will be developed
隨后對股票預測問題建立了簡單預測模型，並將支持向量分類演算法求解過程中的決策函數連續化，從而建立了求解簡單預測模型的簡單預測演算法。The function design of system includes writing down amendment and pretreatment about spatial database and attribute database. this system provides common and basic functions of gis. besides, we can make out the topographical maps, planimetric maps and skiagraph, structure objects of highway construction of design and can inquire two - way between spatial information and attribute information
系統功能設計包括空間數據庫和屬性數據庫的錄入、修改以及預處理；系統還提供了一般gis系統應具備的基本功能，並在此基礎上進行涵蓋公路設計施工的地形圖、平縱縮圖、構造物等圖形信息與屬性信息的雙向查詢，並運用掙值法等對相關屬性進行分類統計以供有關公路工程項目的各方使用。Finally, a typical two classes example of two classes natural spearmint essence was employed to verify the effectiveness of the proposed approach cca - svm. the classification accuracy is much better than that obtained by svm alone or correlative component analysis - self - organizing map ( cca - som ) networks
然後將其成功地應用在建立留蘭香的分類器模型上，它的訓練與預浙江大學博士學位論文測分類精度比svm方法、分類相關成分分析一自組織映射網（ cca一som ）方法都有明顯提高。Such topics include whether transactions leading up to a business combination ( for example a spinoff or special dividend transaction ) preclude classification as a uniting of interests
如此的主題包括是否交易帶領決定於一個商務組合（舉例來說一個附帶利益或者特別的被除數交易）預先排除如興趣的聯合分類。Taking the real - time recognition request into consideration, a bi - layer ahmm model ( bl - ahmm ) is introduced. bl - ahmm can reduce the recognition space by pre - categorization, which improves the speed and accuracy of recognition. like the other grads descend algorithms, the problem of local optima is also existed in the training of hmm
為了進一步提高識別速度，滿足聯機識別中實時性的要求，本文在ahmm的基礎上同時提出了一種雙層自適應識別模型（ bl - ahmm ） ，通過預分類來減小識別空間，提高了系統識別速度並同時提高了識別率。The approach to classification based on the equivalence classes of the main attribute is as follows : ( 1 ) discretize the continuous training data
以某屬性的等價類（相近類）組成的子集作為svm的訓練集預分類的方法如下。 （ 1 ）將連續性訓練數據離散化。Firstly, we introduce the basic theory and methods for realization of sofm. subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation, select the eigenvector. combining c - avarage and isodata arithmetic, classify the eigenvector, according to the methods of this dissertation, in lower layer, set nerve cell and unite or delete nerve cells in middle layer, to improve the anti - huise - and robust
論文首先介紹了sofm的基本原理和實現方法，接著在其基礎上對具體演算法進行改進，用k - l變換對原始數據進行特徵提取，選取出特徵變量，結合c -均值和isodata演算法對特徵變量進行預分類，按照本文中介紹的方法在底層預置神經元，在中間層對神經原進行合併和刪除，加強了該網路的抗干擾性和穩定性。As a currency learning techniques introduced recent years, svms which handle small sample size problem have the features of good generalization ability, solid theoretical background, high accuracy, and getting global optimization. ho vever, it is a classifier for two - class originally and not suite for the multi - class problems and dealing with large data sets. on the other hand, rst has the features of handling and reducing large data sets while has lower classification accuracy than svms. in this paper, the data are classified in advance with the rst, and two methods of combination of the data to classify two - class problems are proposed
但它是二值分類器，不適用於多值分類場合及處理海量數據。粗集理論則具有處理和約簡大數據量的優勢，但分類精度不如svm方法。本文利用粗集理論對數據進行預分類，在此基礎上提出兩種二值分類數據組合方法，然後，再利用svm兩兩分類。Then one against one classification is performed with svms. so the muti - class problem can be solved, the accuracy of classification guaranteed, and the reduction of the data carried out. in particular, the approach to classification based on the equivalence classes of the main attribute is explicit conceptually, easy to understand and implement. furthermore, the reduction of the sample size is distinct
這樣，既解決了多值分類問題，提高了分類精度，又實現了數據壓縮。其中利用主屬性中不可分辨關系（或相近關系）預分類的方法，概念清晰，易於理解、操作，數據壓縮量大。分享友人