模型自動識別 的英文怎麼說

中文拼音 [móxíngzìdòngzhìbié]
模型自動識別 英文
automatic model recognition
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  • 自動 : 1 （自己主動） voluntarily; of one s own accord 2 （不憑借人為的力量） automatic; spontaneous 3 ...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. At the end, basing on comparative model, using depth - first search strategy and special arithmetic in the principle of mathematical equipollence, ides can auto distinguish the subject after comparing key steps and answering steps of student

    基於比較模型，採用深度優先的控制策略，採用特定演算法，按照數學意義上等價的原則，對關鍵步驟和學生解答進行比較識別，從而實現自動批改功能。
  2. This paper introduces a typical nonlinear dynamics technique, based on the fractal geometry to achieve quantitative description and automatic analysis of wear particles generated between running friction parts inside diesel locomotive, discusses the model and algorithms of fractus calculation of wear particles, and finally gives the correspondent experimental results, in which wear particle ' s automatic recognition is finished by means of the cooperation of fractal geometry and artificial neural network

    本文引入分形幾何這種非線性系統方法來完成對磨粒的定量描述和自動分析，給出分維數演算法模型及相應實驗結果，並結合人工神經網路來完成磨粒的分割與自動識別。
  3. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  4. The automatic identification of the modulation types has been applied to many fields such as source identification, interference identification, radio interception, - electronic countermeasures, etc. the modulation recognizer based on the decision - theoretic approach and the constellation diagram is proposed and the signal ' s kurtosis is used as the indicator to differentiate the analogue modulation from the digital modulation

    通信信號調制類型的自動識別廣泛應用於信號確認、干擾辨識、無線電偵聽、電子對抗和信號監測等領域。本文提出基於決策論與星座圖的綜合調制識別器，使用信號的峰度區分調制類型是模擬調制還是數字調制。
  5. Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information

    本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。
  6. Program trading is based on sophisticated quantitative models that analyze the market in real - time, identify and evaluate opportunities, and automatically trade baskets of financial instruments using quote and execution applications

    程序交易是基於分析時勢市場數據所得到的數量模型的，它識別並評估交易時機，利用報價和交易軟體自動交易一籃子金融工具。
  7. In the paper the principle of on - line automatic identification system of plant condition is studied appling the self - organization network and topography search method in knowledge processing

    摘要本文應用自組織特徵映照模型，以知識處理中的地勢搜索原理為出發點，研究並提出了在線式設備狀態自動識別系統的工作原理。
  8. The purs can attain the automatic identification of user interests, the automatic formation of user model and meanwhile the system can assist users in the construction of retrieval request, the inquiry of information and the acceptance of pushed information

    Piirs系統實現自動識別用戶興趣，自動生成用戶角色模型，幫助用戶生成檢索請求，向用戶推送信息等。
  9. Via this model, automatic identification of circuit and circuit defect of s - sbc are realized. the procedures to check for the existence of a crank in all types of s - sbm are found. the method of stationary configuration loop to solve the order of motion of s - sbm is presented

    基於此模型，實現了s - sbc迴路及迴路缺陷的自動識別，給出並證明了所有類型的s - sbm的曲柄存在條件及判斷方法；提出了解決s - sbm運動順序問題的靜止位形點環路法。
  10. 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。
  11. This thesis was carried out basing on the seals automatically reorganization project in a information science company of chongqing municipalization. in the paper, based on the analyzing of the mathematical models and their algorithms of kinds of artificial neural networks ( ann ), the author analyzed the algorithm of the back - propagation ( bp ) networks model, at the same time, the author improved the algorithm practically and effectively, and applied it in the recognition technique of digital image successfully

    本文的研究工作是結合市內某信息科技公司的「印鑒自動識別系統」研發項目開展的，作者在深入分析了人工神經網路的各種數學模型及演算法的基礎上，重點剖析了前饋神經網路的演算法思想，對其進行了實用、有效的改進，並將它成功的應用於「圖象識別技術」 ，取得了較為滿意的成果。
  12. Plenty of experiments show that it can effectively improve the synthetic speed of wl algorithm at the same quality. a method for automatic recognizing the size of neighborhood based on statistics is also presented, which can decrease the number of input parameters and be convenient for user ' s operating in texture synthetic algorithms sample - based using mrf model. finally, the future works about the technique of texture synthesis are introduced

    通過大量的實驗表明，在合成質量與wl演算法相近的情況下，該方法使wl演算法的合成速度大幅度地提高，取得了良好的加速效果；運用統計分析的方法，針對採用mrf模型的基於樣圖的紋理合成演算法，給了一種鄰域大小自動識別的方法，進一步減少了紋理合成演算法的參數輸入數量，更方便了用戶的操作。
  13. Then 3d gis and its construct is introduces briefly, and the relevant background and theory are studied, such as picture segmentation, pattern recognition and vectorization technology, etc. it is discussed in detail how to realize the data entry of contour lines ( include extraction, pretreatment, vectorization and making dem ) in 3d gis by using computer graphics, image processing and visualization programming technology, and a complete set of concrete scheme to design a system recognizing automatically contour lines from scanned data of map is put forward

    論文從地理信息系統領域研究應用的歷史和現狀入手，簡要介紹了三維地理信息系統及其構成，研究了相關的背景與理論知識，如圖像分割、模式識別和矢量化技術等等。論文重點闡述了如何運用計算機圖形學、圖像處理、可視化編程技術等實現三維地理信息系統等高線要素的數據輸入（即提取、預處理、矢量化和網格化生成dem數據高程模型這幾個基本內容） ，並提出了地圖掃描數據等高線自動識別系統設計的一整套具體方案。
  14. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  15. The main works of this paper are presented as follows : ( 1 ) analyzed the research condition and the difficulty of multi - agent security research at present, and we gave the definition of security in a multi - agent system ; ( 2 ) analyzed and sampled involved immune mechanism, we constructed a immune agent and described its mental attribute by dfl ; ( 3 ) gave a communication form based on mental attribute ; ( 4 ) based on dfl, we proposed a diseriminating model among tias by taking into account the theories of dynamic immune network ; ( 5 ) based on the principle of clone selection, we gave a tia ’ s immune algorithm, and put forward single tia ’ s distinghuishing model and multi - tia ’ s distinghuishing model by taking this algorithm as foundation ; ( 6 ) the security model carried on an application in the detection of computer virus, for this purpose, we also developed a simple simulation program based on binary coding

    主要包括如下工作: （ 1 ）分析了當前多agent安全的研究現狀及其面臨的困難，給出了多agent安全的需求和定義; （ 2 ）分析和抽取了相關的免疫機制，構造了一種免疫agent ，並利用動態模糊邏輯對其非空心智狀態進行了描述; （ 3 ）給出了agent之間基於心智屬性的通信方式; （ 4 ）以動態免疫網路理論為基礎，結合動態模糊邏輯，給出了tia的狀態鑒別模型; （ 5 ）給出了基於克隆選擇原理的tia免疫演算法，並在該演算法的基礎上提出了單tia非自體識別模型和多tia協商非自體識別模型; （ 6 ）將該安全模式在計算機病毒檢測中進行了應用，實現了一個簡單的基於二進制編碼的計算機病毒檢測模擬系統。
  16. By way of multi - factor fuzzy integration decision - making, the algorithms of the ship tracks correlation from radar and ais ( automatic identification system ) were researched, and the mathematic models were setup including the fuzzy factor sets, evaluation sets, single - factor fuzzy judgment matrix, multi - factor fuzzy integration decision - making rule, and the quality of the correlation and disengagement

    摘要採用多因素模糊綜合決策方法，研究了雷達與ais （船舶自動識別系統）目標航跡關聯演算法.建立了該演算法的模糊因素集、評價集、單因素模糊評判矩陣、多因素模糊綜合決策準則、以及航跡關聯與脫離質量等數學模型。
  17. Here is some features of the system : ( 1 ) designed a frame which is easy to install and use ; ( 2 ) based on chinese models the first time in china to calculate the sport data ; ( 3 ) recognise the frame keys and the human keys by computer automatically and users ; ( 4 ) apply 3d human models to render intuitive scenes ; ( 5 ) the model poses can be modified by users

    該系統具有以下特點： （ 1 ）自行設計了安裝使用較方便的框架； （ 2 ）第一次採用了中國人的模型來計算相關數據； （ 3 ）圖像中框架標識點或人體關節點的計算機自動識別與人工識別相結合； （ 4 ）採用了三維人體模型來渲染顯示出逼真效果； （ 5 ）人體姿態可人工修改編輯。
  18. In the development process, according to the idea of modular modeling, the author rationally compartmentalized thermal system. this software has very strong graphic module edit and manage capacity, thus device interface topologic definition method is applied to define the topologic structure, and the topologic structure can be analyzed automatically and correctly. since the device module was encapsulated two parts, so, through topologic analysis, the correct source simulation program was created directly

    在組態過程中，本文採用設備介面方式定義模擬系統的拓撲結構，實現了對模擬系統拓撲結構的自動識別和設備模塊的自動參數化功能，用戶只需完成模擬模型系統的構建和相應物理參數及運行工況數據的輸入，軟體便會根據拓撲分析的結果和自動參數化的結果直接生成fortran語言的模擬源程序。
  19. For the road targets detection, on the basis of the extraction of road features, this thesis probes road models with different satellite resolutions and scene types, as well as the automatic road detection and recognition. thus, it proposes an expert system that can recognize all types of roads

    在道路目標識別中，本文研究了道路特徵提取的基本思路；不同衛星解析度和不同場景模型下的道路模型；自動道路特徵提取和識別演算法；最後提出了一種自動辨識所有道路模型的專家系統的框架。
  20. Automatic vehicle type and color recognition vecon - type vecon - type is an advanced image processing and pattern recognition system that recognizes the vehicle type and color of a captured image

    車輛類型和顏色自動識別慧光車型自動識別系統vecon type是當今先進的圖像處理和模式識別系統，它從採集到的圖像中識別出車輛的類型和顏色。
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