非人工干預 的英文怎麼說

中文拼音 [fēiréngōnggānyù]
非人工干預 英文
no manual intervention
  • 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 ...
  • 工 : Ⅰ名詞1 （工人和工人階級） worker; workman; the working class 2 （工作; 生產勞動） work; labour 3 ...
  • 干 : 干Ⅰ名詞1 （事物的主體或 重要部分） trunk; main part 2 （幹部的簡稱） short for cadre Ⅱ動詞1 （做...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  1. Resulting from " force majeure " it shall be considered as a case of " force majeure " when the accident is solely due to unavoidable forces of nature, independently from human will and does not constitute a risk resulting from labour conditions

    因不可抗力之情況（不可抗力是指不論有無人之干預，由不可避免之自然力量而非因工作條件所引致） 。
  2. Resulting from " force majeure " ( it shall be considered as a case of " force majeure " when the accident is solely due to unavoidable forces of nature, independently from human will and does not constitute a risk resulting from labour conditions )

    因不可抗力之情況（不可抗力是指不論有無人之干預，由不可避免之自然力量而非因工作條件所引致） 。
  3. Police officers would not interfere with location filming unless the law is being breached or they have good grounds to believe it will be breached

    除非外景攝制工作有違法紀或警務人員有充分理由相信攝制工作將有違法紀，否則不會干預。
  4. In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples

    針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。
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