這個理論經不起檢驗 的英文怎麼說

中文拼音 [zhèlúnjīngjiǎnyàn]
這個理論經不起檢驗 英文
this theory will not bear examination
  • : 這代詞(常用在量詞或數量詞前) this
  • : 個Ⅰ量詞1 (用於沒有專用量詞的名詞) : 一個理想 an ideal; 兩個月 two months; 三個梨 three pears2 ...
  • : 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...
  • : 論名詞(記錄孔子及其門徒的言行的「論語」) the analects of confucius
  • : 經動詞[紡織] (把紡好的紗或線梳整成經紗或經線) warp
  • : 名詞[書面語] (剁物所用的木墩) a block of wood
  • : 起Ⅰ動詞1 (站起; 坐起) rise; get up; stand up 2 (取出; 取走) draw out; remove; extract; pull 3...
  • : Ⅰ動詞1 (查) check up; inspect; examine 2 (約束; 檢點) restrain oneself; be careful in one s c...
  • : 動詞1. (察看; 查考) examine; check; test 2. (產生預期的效果) prove effective; produce the expected result
  • 理論 : theory
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque(指檢查船舶...
  1. Unfortunately it is based on a number of simplistic assumptions and hypotheses that do not stand the test of empirical verification.

    幸的是,是建築在許多過分簡單的假定和假設基礎上的,它
  2. This theory will not bear examination.

    這個理論經不起檢驗
  3. 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

    濫用測採用的是特徵測的方法,實現較為簡單,判斷的準確性較高,但是能判斷一些過偽裝的入侵或特徵庫中尚未包含的入侵,異常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,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,而且閥值因人而異,因時而異,因此現在的入侵測系統把部分異常記錄以一定的形式顯示出來或通知管人員,交給管人員去判斷,而些ids系統難以判斷的記錄,如果對每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來,專家或管人員根據能夠判斷訪問的合法性,本文試圖引入人工智慧中證據的推策略和示例學習方法,代替人工查分析,可以提高效率,降低誤警率,並可以對一正在進行得可疑訪問實現實時測,通過搜索及時判斷,及時阻斷非法訪問,比事後得人工處更有意義。
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