非正式訪問 的英文怎麼說

中文拼音 [fēizhēngshìfǎngwèn]
非正式訪問 英文
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  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 訪 : 動詞1. （訪問） call on; interview; visit 2. （調查; 尋求） inquiry into; seek by inquiry [search]; try to get
  • 問 : Ⅰ動詞1 （請人解答） ask; inquire 2 （詢問; 慰問） question; ask about [after]; inquire about [aft...
  • 非正式 : unofficial; informal
  • 訪問 : visit; call on; interview; access; addressing; reference to
  1. My state visit to china is important to ireland as a unique opportunity to consolidate the ties of friendship and shared interests forged through accelerated contact in the period since the irish taoiseach mr. bertie ahern t. d.,

    這次的對華訪問對于愛爾蘭是非常重要的。在1998年9月，愛爾蘭總理伯蒂埃亨正式訪華期間，與中國建立了友誼的紐帶，也明確了共同的利益。
  2. Chinese premier zhu rongji is a man of great confidence, yet, for all his stature, he is also admirably unassuming, frank and open - minded, characteristics he exuded during his three - day visit to singapore

    朱金容基總理是一個非常自信的人，同時又謙遜坦誠，虛懷若谷。在新加坡為期三天的正式訪問中，這種令人欽佩的品德再次展露無遺。
  3. Mr premier, we are greatly honoured that in your first official visit to europe as premier, you have included ireland on your itinerary

    尊敬的總理先生，我們對您作為中國國家總理對于歐洲的第一次正式訪問就將愛爾蘭列在您的訪問日程中感到非常的榮幸。
  4. New zealanders are understandably proud that the queen chose their country for the first - ever walkabout eleven years ago

    11年前女王選擇了紐西蘭進行首次非正式訪問，紐西蘭人對感到自豪，是可以理解的。
  5. The ids works by two way, misuse detection and anomaly detection, misuse detection flags an intrusion on intrusion signature, this kind of detecting technic can be realized much more easily, and much more accurate, but it can not find some intrusiones that have been disguised or new kinds of intrusion. the anomaly detection can detect in more wide field, anomaly detection can compare new statistic data with average record, then anomaly record will be found, but it ' s more difficult to set a threshold, if the threshold is too big, some intrusion may be put through, if the threshold is too small, the ids will give more false positive alarm, and the threshold will be different with different people or different period, so the ids just simply show us their suspicious record, the administrator or expert will be in duty to analyze this record and give conclusion, the ids give more alarm than it should, leave us more detection record to analyze, and this is a hard work, we can not distinguish an intrusion or not if we analyze only one record, but we can judge if we find the relation among mass detection evidence. in this article, we try distinguish an intrusion using d - s theory ( proof theory ) instead using manual work, the ids will be more helpful and efficient

    濫用檢測採用的是特徵檢測的方法，實現較為簡單，判斷的準確性較高，但是不能判斷一些經過偽裝的入侵或特徵庫中尚未包含的入侵，異常檢測能夠根據以往記錄的特徵平均值，判斷出異常情況，但是對于異常到什麼程度才視為入侵，這個閥值非常難以確定，閥值設定的太高，有可能漏過真正的入侵，如果設定的閥值太低，又會產生較高的誤警率，而且這個閥值因人而異，因時而異，因此現在的入侵檢測系統把這部分異常記錄以一定的形式顯示出來或通知管理人員，交給管理人員去判斷，而這些ids系統難以判斷的記錄，如果對每個證據單獨地進行觀察，可能是難以判斷是否是入侵，而把許多先後證據關聯起來，專家或管理人員根據經驗能夠判斷訪問的合法性，本文試圖引入人工智慧中證據理論的推理策略和示例學習方法，代替人工檢查分析，可以提高效率，降低誤警率，並可以對一個正在進行得可疑訪問實現實時檢測，通過搜索及時判斷，及時阻斷非法訪問，比事後得人工處理更有意義。
  6. The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better

    入侵檢測工作屬于分類識別問題，其中存在著大量的非線性問題，對入侵檢測資料進行綜合分析與分類，準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理，因此研製理想的非線性整合處理方法是非常必要的，而神經網路由於其內在的對不確定性的學習與適應能力，恰好能滿足入侵檢測工作分類識別的需求，另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因，它將信息分散式存儲于連結權系數中，使網路具有較高的容錯性和魯棒性。
  7. This study was employed through a questionnaire with open - ended questions and informal interviews

    本研究的資?是經由問卷、開放式問答及非正式的訪談?進?搜集。
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