information extraction process 中文意思是什麼

information extraction process 解釋
信息提取法
  • information : n. 1. 通知，通報，報告。2. 報導，消息，情報。3. 資料，知識，學識。4. 【自動化】信息，數據。5. 【法律】起訴，告發。adj. -al
  • extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
  • process : n 1 進行，經過；過程，歷程；作用。 2 處置，方法，步驟；加工處理，工藝程序，工序；製作法。3 【攝影...
  1. A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given

    使用分形方法提取目標的特徵，在知識指導下，提出了一種基於目標特徵模型的降維的形態學分形維數計算方法，對傳統分形方法進行了改進，從理論上推證了演算法的合理性，並對演算法進行了模擬分析；針對傳統hough變換無法獲得線段端點和長度信息的局限性，提出了一種基於目標特徵先驗知識的hough變換融合策略，通過引入目標先驗知識，可以有效地獲得直線信息；對信息多而復雜的機場目標採用基於知識的目標識別方法，使用置信度模摘要型實現不確定推理，對目標進行識別判斷，將知識貫穿于整個識別過程中，對目標進行了有效地識別。
  2. Data mining is an important research subject in the field of information technology. it means a process of nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases or datawarehouses. it involves such subject areas as database, artificial intelligence, machine learning and statistics. classification analysis is an important data mining problem

    數據挖掘（ datamining ）是信息處理技術研究領域的一項重要課題。它是指從大型數據庫或數據倉庫中提取隱含的、未知的、非平凡的以及有潛在應用價值的信息或模式的過程。
  3. In this thesis, aim to the beam axis shape be exactitude for design, the internal force of the beam be appeased by design request, the concept of modem cybernetics is applied, at the same time, the effecting parameter has collected. the paper build the ann model in predicting the beam camber an construction and discuss indetail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn. according to them, ann is applied in the construction control of prestressed concrete continuous bridge

    本文以大橋成橋線形滿足設計要求和成橋內力控制在設計容許范圍內為目的，運用現代控制理論的思想，引用神經網路基本原理，詳細介紹bp神經網路的研究過程，從而建立預應力混凝土連續梁橋施工預拱度的神經網路模型，並詳細討論了模型的神經網路結點信息的提取，在工程實例的基礎上進行了數值計武漢理工大學碩士學位論文算，數值表明，將神經網路應用於預應力混凝土連續梁橋施工控制，獲得了滿意的結果，在預應力混凝土連續梁橋施工控制技術研究方面，具有方便有效、精度高的優點，具有良好的應用前景。
  4. Named entity recognition ( ner ) technologies have become a hot problem of natural language process recently. the definition of named entity by muc ( message understanding conference ) is the proper nouns and the quantifiers that people are interested in. ner can be classified to person - name, location, organization, date, number and so on. ner has been applied on many compute linguistics tasts as a subtask of information extraction, such as machine translation

    命名實體識別是目前自然語言處理研究的熱點問題。 muc （ messageunderstandingconferences ）對命名實體的定義是:人們感興趣的專有名詞和特定的數量詞，它一般可分為:人名、地名、組織機構名、日期等類型。
  5. Data mining means the process of nontrivial extraction of implicit, previous unknown and potentially useful information and knowledge from the large amount, incomplete, noisy, fuzzy and random data

    數據挖掘，指的是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。
  6. Five factors of effecting specify the bearing capacity of drilled grouting pile ( engineering properties of soil, structural dimension of pile, stiffness of pile, time ) have been concluded through introducing the transmission of load mechanism of drilled grouting pile. at the same time, the effecting parameter has been collected. the paper build the ann model in predicting ultimate bearing capacity of drilled grouting pile and discuss in detail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn

    本文簡要介紹了樁基承載力的研究現狀並指出將神經網路引入樁基工程的意義，從介紹單樁荷載傳遞機理出發總結了影響單樁極限承載力的五種因素（樁周土的工程性質、樁身結構尺寸、樁的剛度、時間以及施工工藝）並提取了相應的參數；引用神經網路基本原理，詳細介紹了改進bp神經網路的研究過程，從而建立了預測鉆孔灌注樁極限承載力的神經網路模型；並詳細討論了本模型的神經網路輸入結點信息的提取，在工程實例的基礎上進行了數值計算。
  7. After solution information been obtained from taste sensor array and information preprocessing and feature extraction, the process to this information is the other one primary content

    由味覺傳感器獲取溶液信息，經過預處理電路及特徵提取后，對其進行信息處理是人工味覺的另一主要個內容。
  8. According to different methods of feather extraction, distance average and swatch average are used respectively in the process of distance estimation, which furthermore reflect the whole information of lots of swatch belonging to the same type

    針對同一類的多個樣本，根據不同的特徵提取方法，分別採用了距離平均法和樣本平均法，進一步反映了樣本的整體信息。
  9. In the frequency domain, we analyse the information hiding technique based on dct. we present improved adaptive hiding method, odd even embedding technique, improved amalgamation and difference matrix hiding method in the dct domain. we describe the process of information embedding and extraction, and analyse the robust of the algorithms above in detail

    在頻率域內，我們研究了基於dct變換的信息隱藏技術，提出了改進的dct自適應隱藏演算法、 dct域奇偶性嵌入演算法和改進的融合演算法，同時提出了差值矩陣的dct域隱藏演算法，給出了這些演算法的信息嵌入與恢復過程，並對頻率域內的這些隱藏演算法的魯棒性進行了分析。
  10. Documents are the objects of information process and the foundation of document model is the base of information process such as feature extraction, document filtration and so on. the representation of domain model by using the topic concepts and the key words emphasizes the domain oriented feature of information service, so it can realize the personalization, intelligence of the information service system. user model embodies user interests and intention

    文檔是信息處理的對象，文檔模型的建立是特徵提取、文檔過濾等智能信息處理的基礎；利用主題概念及其關鍵詞表達領域模型，使得信息服務突出了面向領域的特徵，可以更好地實現信息服務的個性化、智能化；用戶模型則體現用戶的興趣和意圖，用於用戶興趣的表達和挖掘。
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