概率信息處理 的英文怎麼說

中文拼音 [gàilǜxìnxīchǔlǐ]
概率信息處理 英文
probabilistic information processing
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 處 : 處名詞1 （地方） place 2 （方面; 某一點） part; point 3 （機關或機關里一個部門） department; offi...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. At first, the text is segmented to words and converted to a sequence of part - of - speech tags ; then based on the pos tags sequence parameters and phrase - break distance information from training, markov model is used to get the most likely phrase break sequence

    首先，文本進行分詞，並轉換為一列由詞性標記所組成的序列；然後使用馬爾可夫模型，利用人工標注數據庫訓練詞語連接處詞性標注序列的概率分佈和連接類型序列的距離信息，得到輸入的詞性標記序列對應的具有最大似然概率的連接類型序列，最後利用后處理規則進行適當的糾錯。
  2. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  3. A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique

    本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究，其具體內容為：對近年來的研究工作進行了系統的介紹；提出了一個由粗到細的多階段的人臉檢測演算法，該演算法充分利用了序列圖像中人臉模式的各種有用信息，將復雜的檢測工作分為了四個部分：膚色區域分割預處理，人臉粗檢及利用橢圓擬和的人臉區域提煉，應用人臉基本特徵檢測和定位的人臉細檢， pca結合高斯概率密度估計的人臉驗證。
  4. For farther research in practical status and birth mechanism of information man - oeuvre rent seeking, the thesis usees decision - making and game theory to build gamemodel, linking to character of information manoeuvre rent seeking and adding some hypothesis and parameter. use typical sampling with punish decision from security monitor committee of china, and do positive research, result shows that from those years information manoeuvre rent seekings in china have been in a high frequency state, many prescripts of < security law > have not been enforced well on checking of lawless cases, degree of punish cant hold back the information manoeuvre rent - seek - ing impulsing. at the effective monitor of stock market, not only probability of check is low, but rate of succeed is low too

    實證研究結果表明，近年來，我國證券市場的信息操縱行為處于高頻率狀態， 《證券法》的有關處罰規定在現實中沒有得到嚴格的實施，懲罰力度不足以有效遏止市場的尋租沖動，在市場有效監管上，不僅稽查的概率偏低，而且稽查的成功率也有待提高，合理改進稽查概率、稽查成功率、懲罰力度、中小投資者抗租能力等相關參數，是提高市場效率的有效途徑。
  5. This dissertation is the expanding of the military project of ‘ 95 ’ advance research, a novel multi - modulation technique designing radar signal waveform is introduced on the links with the project of the national natural science fundation of china ( nsfc ), named " produce and process the multi - modulation signal of the sensor with strong detectability and identifiability ". based on the analysis of the equal - probability - distributing fsk / psk multi - modulation signal, we construct a new pseudo - random fsk / psk multi - modulation signal and we design and simulink on the computer the partly - matched processing signal of this signal. the purpose of the design is to construct a processing signal to combine with the pseudo - random fsk / psk multi - modulation signal, so that we could get a strong response of the target

    本論文是『九五』軍事預研項目「低截獲概率雷達波形研究」的擴展與深入，同時結合國家自然科學基金項目「強探測強識別傳感器新型復合調制信號產生及處理」展開。在分析等概率分佈的fsk / psk復合調制信號的基礎上，構造了一種新的偽隨機fsk / psk復合調制信號及其非完全匹配處理的設計及模擬。設計的目的是能對偽隨機fsk / psk復合調制信號進行處理的處理信號，以期獲得對所探測目標信息的強探測。
  6. The method of rough set theory, better than the method of fuzzy set and probability statistic, is the effective tools to deal with inexact information

    由rs理論所具有的的特點，我們知道它比原來的模糊集和概率統計方法優越，是處理不精確信息的有力工具。
  7. A brief review and theoretical analyses are made on computer storage and retrieval of generic chemical structures in patents. two rules, namely consistency and efficiency, are presented in processing generic chemical structures, and the optimal decomposing point ( odp ) is brought forth to obtain efficient searchable records

    本文概述了計算機化學中族性結構信息處理國內外研究進展，從理論上分析了族性結構檢索匹配策略，提出了族性結構數據庫系統一致性和效率兩原則，指出提高匹配效率需要找出原始族性結構的最佳展開點。
  8. From the second to the fifth chapter such problems concerning state - owned property right are illustrated respectively as its definition, valuation and price fixing and capital sources of undertaking party and the disposal and use of transfer income. problems are raised with regard to the process of current property right system diversity in state - owned enterprises, such as the disagreement to the definition of state - owned property right, no standard of evaluation, imperfection of price fixing system and relative confusion of transfer income disposal and use. what ' s more, new solutions are offered : the probe into state - owned property right definition " changsha model " is confirmed positively ; two specific ways of quantification - - " the method of average growth rate of state - owned property right " and " the method of average cost of labor in market " ; the concept " present value of earnings " is applied to the property evaluation of receivable accounts, finished goods, invisible assets and so on ; the unjust in price fixing of state - owned property right can be avoided by improving property valuation methods, perfecting capital market especially property right trading market and bettering information publishing system ; as to the guarantee problem of human resources financial contribution, an original key is offered

    第一章運用產權理論對國企產權多元化改革進行經濟學分析；第二章至第五章主要圍繞國有產權的界定問題、評估問題、定價問題、承接方的資金來源問題、轉讓收入的處置運用問題分別進行闡述，指出了當前國企產權多元化過程中存在著國有產權界定不統一、評估不規范、定價機制不完善、處置運用相對混亂等諸多問題，並提出新的解決思路：肯定國有產權界定「長沙模式」的積極探索意義，提出量化職工創造剩餘價值的「國有資產平均增長率法」和「平均市場勞動成本法」 ；將「收益現值」概念運用到對應收賬款、產成品、無形資產等資產評估之中；應從完善資產評估方法、完善資本市場特別是產權交易市場和健全信息公開機制三個方面來解決國有產權定價不公問題；就人力資本出資的擔保問題提出實際債務承擔額（比例）應小於名義出資額（比例）的新思路，並認為人力資本市場上的交易價格應包括絕對出資額和相對出資額兩部分。
  9. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  10. There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region

    演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。
  11. According to markov language model, use this probabilistic relationship between the chinese characters into chinese character post - processing

    根據markov語言模型，將同現概率這種文本上下文相關信息應用到漢字識別后處理中。
  12. The feeder net model for distribution automation is built based on the nod information matrix and the line information matrix, and the nods represent the switches and the fault indicator in the distribution net. the method of fault locating offered by this paper called line fault probability method, which locates fault by calculating the fault probability of line in the net. this paper also provides a method called volts d. c. for restoration and offers the regulation of restoration

    採用節點、支路信息矩陣來描述配電網路，形成面向故障自動化處理的網路數據結構；提出了基於支路故障概率的故障定位演算法，並結合短路電流特性判據法來定位故障支路；在定義直流等值網的基礎上，提出了優化供電恢復的直流電壓降法；開發了配電網故障自動處理軟體系統，並用於實際配電自動化工程中。
  13. In the data preprocessing stage, we study the theory and technology of feature selection. an algorithm which combines filter method and wrapper method whom both used in the feature selection is proposed. the algorithm can decrease data dimensions by removing irrelevant features, increase algorithm accuracy and speed up the knowledge discovery process

    針對知識發現過程的預處理問題，研究了屬性選擇的理論和技術，提出了一種利用信息理論和概率論，結合了屬性選擇過濾法和打包法的屬性選擇演算法，通過去除屬性集中的不相關屬性，降低數據維數，減少數據量，從而提高數據挖掘的精度，加快知識發現的過程。
  14. Forth, to extract the semantic object from the spatial segmentation, we applied a temporal segmentation based on the global motion compensation, statistical model - based change detection and post processing technology to get the motion mask

    第四章是對運動信息檢測技術的介紹及實驗結果討論，這章涉及到時域上的運動掩碼檢測方案，全局運動補償，基於概率模型的運動檢測以及后處理。
  15. This method takes advantage of the lower approximation in rough sets to do the first data packing, and then, according to the value - taking probability of the attribute value, finds the result to do the second packing, thus accomplishes the completion of incomplete information system

    該方法利用粗糙集中下近似集的性質進行初次數據填補，然後根據屬性數據的取值概率函數求出的結果進行二次填補，從而完成對不完備信息系統的完備化處理。
  16. Dealing with all the information of subjective responses to fresh air indoor by fuzzy theory. the annoying probability is found under the different amount of fresh air, the annoying threshold of fresh air under the environment of no smoking indoor is gained though weighted average

    利用模糊學理論處理人們對室內新風量的主觀反應的所有信息，得出在不同新風量下的煩惱概率，並以此加權平均，得出室內無人吸煙環境的新風量煩惱度閾值。
  17. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
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