統計模式分類 的英文怎麼說

中文拼音 [tǒngjìmóshìfēnlèi]
統計模式分類 英文
statistical pattern classification
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  • 模式 : model; mode; pattern; type; schema
  1. Hydraulic control system of double - cylinder vessel gate is a sort of typical electrohydraulic proportional control system0 in order to study electrohydraulic flux control characteristics of this system, i have analyzed the principle of this hydraulic control system, and made its mathematics model ? in double - cylinder hydraulic system, it is necessary to process electric synchronous control in this hydraulic system, this paper also introduces a sort of fnn ameliorated from the point of view of intelligent control theory, and clarifies the principle of applying that network to achieve synchronous controlo at the same time, the means of fuzzy configuration analysis is used for network training, the comparative experiments make known that the method of applying fnn to realize synchronization control is feasible, furthermore, its effect is better than others0 this paper puts forward that a distributed control system can be used to monitor and control vessel gate within a real - time or remote distance, the basic project, structure, applications and functions of computerized scada system in hydraulic system of vessel gate is introduced ? a double layer network structure, epigynous and hypogynous machine network, is applied to this system, in accord with the application of technique such as plc, integrated software etc, this paper introduces the methods and application to achieve the computerized scada system in the task, and analyzes the characteristic of this system, in this paper, the application of configuration in monitor and control system of vessel gate is discussedo in addition, in accord with the application of technique such as visual basicb

    雙缸船閘液壓啟閉控制系統要求解決同步控制問題，文中從智能控制理論角度出發，採用了一種改進的模糊神經網路，結合模糊聚類分析方法，闡述了應用該網路實現同步控制的原理。通過對比模擬實驗表明：應用模糊補經網路實現同步控制是可行的，而且它的同步控制效果要優于傳統的設置主從令缸控制方法，具有良好的魯棒性能。另外，本文提出了建立船閘控制系統的分散式控制系統，介紹了船閘液壓控制系統的計算機監控系統（ scada ）的方案、結構、應用和主要功能，採用雙層網路化結構：上位機網路和下位機網路，並結合plc通信網路技術和組態軟體等技術構成的計算機監控系統的實現方法，實際應用，分析了這種較新的系統模式在船閘液壓控制系統的計算機監控系統的功能實現中所具有的特點。
  2. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  3. The first one : fitting together ultimate values of every dimensions in one dimension - chain one by one, educing many equations by itself, calculating results, and comparing these results of close dimension to find maximal and minimal values. the second one : projecting all dimensions on two preestablished axis, then providing the solutions to analyze whether every projected dimensions is increscent or decreasing, and synthesize the effect of every projected dimensions to close dimension, educing many equations by itself, at last calculating the result of close dimension. the third one : according to monte carlo analysis, getting every dimensions " values from every dimensions " tolerances at random time after time, simulating the actual circumstances of mass production using these dimensions, and calculating reasonable results of close dimension economically

    鑒于這類系統在各大中小型企業的廣泛應用與相對滯后的研究水平，本文提出了三種新的能切實地解決目前尺寸鏈計算機輔助分析解算中存在的各種難題的設計方案，第一種方案將尺寸鏈中各組成環能取的極值組合起來，自動列方程組，求解每個組合情況下的封閉環尺寸，最後比較這些結果，得出封閉環的最大最小值；第二種方案將尺寸鏈各組成環向預先設定好的兩個方向投影，之後再分析各尺寸環投影分量的增減性，並且提供了組成環兩個方向上的投影分量增減性不一的復雜情況下的解決辦法，綜合組成環各投影分量的增減性，然後自動列出方程組，最後根據各組成環的投影分量以及所列的方程組來確定尺寸鏈封閉環的尺寸；第三種方案以蒙特卡洛法為原理，在尺寸鏈各組成環的取值范圍內使用計算機產生大量隨機數，模擬實際大批量生產中的零件尺寸分佈情況，以更經濟更合理的方式分析、計算封閉環尺寸。
  4. 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。
  5. The simulation result has indicated that using the method of two - value filter can solve the question perfectly, and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system

    模擬結果表明，利用二值濾波處理較好地解決了傳統的基於區域的圖象分類中的邊緣不連續的問題；利用邊緣漸變方式實現的圖像融合簡潔有效；由灰度統計直方圖均衡所實現的彩色增強處理降低了虛擬照相系統對環境照度的要求。
  6. In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly

    在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。
  7. Some beneficial results of the csnw ' s behaviors are gotten. main research contents as follows : ( 1 ) the four destruction models and respective stability analysis methods are discribed in this paper, whose working mechnism and calculating methods are given. in addition, some defects of every method are also discussed ; ( 2 ) on the basis of traditional active soil pressure method and expirical siol pressure method, the calculating model of the laternal earth pressure which is a tetragon with the largest value in the center side is addressed

    主要工作如下： （ 1 ）本文給出了復合土釘墻的穩定性分析方法，該方法介紹了復合土釘墻的四種破壞類型，分析了每種破壞類型的受力機理，並給出了相應的計算方法和計算方法中的一些不足； （ 2 ）在傳統的主動土壓力和經驗土壓力的基礎上，建立了土釘墻中間大、上下小的四邊形狀分佈的側向土壓力的計算模式。
  8. First the article introduces component - oriented software development method, presents ec - iscm model for software procedure, discusses the software architecture description language, c / s model and design pattern used methods, and expounds the relationship between design pattern and architecture and component ; then discusses the workflow ' s design philosophy and architecture, raises an applying model that integrates the purchasing management with workflow model, and expounds workflow modeling method ; then researches into a module of purchasing management based workflow, make the demand frame in abstraction region and set up a region model ; moreover expounds the region design, set up the purchasing management software model and dynamic interaction model ; then brings about the software architecture and components model. the purchasing management software development indicates that design pattern and software architecture philosophy have improve the software reusability. because of bringing in the workflow, this system realizes the purchasing process automation and the purchaseing process reorganization, and improves the enterprise purchase efficiency

    文章首先介紹了面向構件的軟體開發方法，並給出了ec - iscm的軟體過程模型，討論了軟體體系結構描述語言和客戶服務器模型以及設計模式應用方法，闡述了設計模式與構架和構件的關系;接著討論了工作流管理系統設計思想以及工作流管理系統的體系結構，提出了工作流技術與采購物流管理軟體結合的應用模型，並闡述了工作流建模方法;然後研究了基於工作流的采購物流管理模型，抽象領域需求框架並建立領域分析模型;進而進行相應的領域設計，建立采購物流管理軟體類模型和動態交互模型，採用設計模式和三層構架進行優化設計;最後給出軟體的構架與構件的模型實現。
  9. Based on statistic pattern recognition principle of identifying the image classification, the exactitude identifies the image of an unqualified glass container

    基於統計模式識別原理對處理后圖像進行識別分類，正確識別出不合格的玻璃容器的圖像。
  10. By projecting feature vector to every class subspace, the character can be determined to one class in accordance with the projecting length. this is the difference between subspace method and other statistic methods

    在分類決策時，將樣本特徵矢量向各類別子空間投影，由投影長度判別樣本歸屬，這也是子空間方法與其它統計模式識別方法的不同之處。
  11. In the following virtual memory management subsystem design, after analyzing the hardware - software dividing line and cooperation in detail, four key issues of virtual memory manage subsystem design are discussed : the classification of processor operating mode, the partition of virtual space, the access controlling and the design of control coprocessor ( ccop ). a virtual manage subsystem prototype is then presented

    在虛存管理子系統設計的討論中，詳細分析了虛存管理中軟硬體的分工協作，深入研究並解決了虛存管理子系統設計的四個核心問題：處理器工作模式分類、虛地址空間劃分、訪問控制和控制協處理器設計，並在此基礎上給出了一個虛存管理子系統原型。
  12. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  13. After extracting characteristic vector, unqualified glass container can be identified by using statistic pattern recognition method

    提取特徵矢量后，通過統計模式識別原理即可以分類識別。
  14. Application of statistical pattern recognition to the classification of water quality and the recommendation of water treatment reagent prescriptions

    統計模式識別在水質分類和水處理劑配方推薦中的應用
  15. In present methods of track - to - tack correlation, the false and lost track - to - track correlation have not been taken into account in the complex background with dense targets. so two kinds of methods are proposed to deal with this problem, one of which is the correlation algorithm based on fuzzy synthetic decision and d - s evidence theory, another is based on k - nearest neighbor ( k - nn ) principle and d - s evidence theory. the two methods combine the logic of fuzzy decision and strictness of statistical classification with intelligence of evidential theory successfully

    目前的航跡關聯方法在密集目標環境下，航跡錯關聯概率和漏關聯概率較大，針對這一問題，本文利用d - s證據理論，提出了基於模糊綜合決策的d - s航跡關聯方法和基於k近領域的d - s航跡關聯方法，兩種方法成功地將模糊決策的邏輯性和統計模式分類的嚴密性與證據理論的智能特性相結合，模擬結果說明了兩種方法的有效性和實用性。
  16. Compared with classical statistical approaches, neural networks approach to pattern recognition have many advantages, such as self - adaptability, parallel processing, robustness and strong classification ability

    同時，與傳統統計模式識別方法相比，利用人工神經網路方法進行模式識別具有自適應、并行性、魯棒性、分類能力強等優勢。
  17. To solve these problems, this thesis proposed a new model for the intrusion detection system that based on the data mining. we have discussed some key technical problems and related solutions. we apply some existing algorithms of association analysis, sequence pattern analysis, and data classification to the intrusion detection system

    針對這些問題，本文採用了一種基於數據挖掘技術建立入侵檢測系統的方法，討論了該系統實現中的關鍵技術及解決方法，將現有的數據挖掘演算法中的關聯分析、序列模式分析、分類等演算法應用於入侵檢測系統，對入侵行為提取特徵、建立規則，通過對審計數據的處理與這些特徵進行匹配，檢測入侵，以形成智能化的入侵檢測系統。
  18. This tool is centered on the user, under the user " s control, and to be capable to effectively mine the rule of time sequence model and the classification rule and the association rule in the database or data warehouse

    設計並初步實現了一個數據挖掘原型系統，該工具以用戶為中心，在用戶的干預下能夠有效的對現實數據庫、數據倉庫進行時間序列模式、分類規則和關聯規則的挖掘。
  19. This paper has not only developed ann models in theory but also completed software package for spectra intelligent analysis for the airborne detection of oil spills by laser - induced fluorescence

    本論文主要進行的是理論建模和分析工作，並且用計算機軟體方法實現了神經網路系統的模式識別和分類功能。
  20. In this thesis, several issues concerning the machine learning and the classification of high dimensional multispectral data with limited training samples are addressed, which are based on statistic learning theory ( slt ), support vector machine ( svm ) and artificial neural networks ( ann ). the mai n work and results are outlined as follows : 1. the characteristics of high dimensional multispectral data are studied, and the difficulties that deteriorate the performance of the traditional pattern classification algorithms are carefully analyzed

    以統計學習理論（ statisticlearningtheory ? slt ） 、支持向量機（ supportvectormachine ? svm ）和人工神經網路（ artificialneuralnetworks ? ann ）為基礎，本文開展了以下幾個方面的研究工作：深入分析了高維多光譜數據的特點和傳統模式分類方法在高維多光譜數據分類中面臨的困難。
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