懲罰因子 的英文怎麼說

中文拼音 [chéngfáyīnzi]
懲罰因子 英文
penalty factor
  • 懲 : 動詞1. （處罰） punish; penalize 2. [書面語] （警戒） take or give warning
  • 罰 : Ⅰ動詞[書面語] （處罰） punish; penalize; fine; forfeit Ⅱ名詞（處罰） punishment; penalty
  • 因 : Ⅰ動詞[書面語] （沿襲） follow; carry on Ⅱ介詞1 [書面語] （憑借; 根據） on the basis of; in accord...
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  1. They believe in rod, the scourger almighty, creator of hell upon earth and in jacky tar, the son of a gun, who was conceived of unholy boast, born of the fighting navy, suffered under rump and dozen, was scarified, flayed and curried, yelled like bloody hell, the third day he arose again from the bed, steered into haven, sitteth on his beamend till further orders whence he shall come to drudge for a living and be paid

    他們相信笞杖：全能的懲罰者人間地獄的創造者亦信大炮之子水手他因邪惡的誇耀降孕，生於好戰的海軍。其臀部著十二杖，供作犧牲，活剝皮，製成革，鬼哭狼嚎，猶如該死的地獄。第三日自床上爬起，駛進港口，坐于船梁末端，等待下一道命令，以便為糊口而做苦役，關一份餉。
  2. Visit the sins of the fathers upon the children

    兒子因父親的罪而受懲罰。
  3. Even more hurt and grieved are those old boys and girls whose mother schools were closed down for whatever reasons. as former students, they have nowhere to attach their memory as parents, they can find no schools that would accept their children on preferential terms

    還有更痛苦的懲罰是母校因任何理由關閉了，校友欲哭無淚，孩子欲讀無門，只能怨嘆遇「校」不淑，誤了孩子的機會。
  4. The days of visitation are come, the days of recompence are come ; israel shall know it : the prophet is a fool, the spiritual man is mad, for the multitude of thine iniquity, and the great hatred

    懲罰的日子臨近，報應的時候來到，以色列必定知道，因著你們眾多的罪孽和深仇大恨，先知被看為愚昧，受靈感動的人被當作瘋子。
  5. After intervention, the mean score of the attitude to family and parents, the mean score of the attitude toward themselves, and the total mean score of the mental health questionnaire of tested group catch up with that of the two control groups

    干預組父、母情感溫暖、理解因子得分干預后趕上或超過了優生組或中等組水平；干預組父、母懲罰、嚴厲因子，和父親拒絕、否認因於得分干預后降至優生組或中等組水平。
  6. Then, the paper builds the model allocating enterprise resources by the nonlinear programming with fuzzy resources and penalty coefficients combining with the characteristic of enterprise resources

    第二，結合現代企業資源的特性，運用具有懲罰因子的模糊非線性規劃模型來實現對模糊邊界下的企業資源的優化配置，建立了相應的模型。
  7. There are four factors that show a higher proportion among boy students. they are father ' s severe punishment, rejection and denying, mother ' s and father ' s over interference, and mother ' s excessive protection

    在對男生的教養方式中，父親在懲罰嚴厲、過分干涉、拒絕否認，母親在過分干涉、過度保護、四個教養因子上均顯著高於女生。
  8. From father ' s angle in the parents - child relationship, the influence on the development self - concept of middle school student in urban or rural area is basically the same ; from mother ' s angle in the parents - child relationship, the influence on the development of self - concept of middle school student is more comprehensive than that in rural areas ; on the aspect of the parenting style, the relation between emotional - warmth and the development of self - concept is toward direct ratio, the relation between punishment, sternness, overprotection, rejection, denial and the development of self - concept is toward inverse ratio. compa red with urban students, the relation between mother ' s favouring subject of rural students their development of self - concept is toward direct ratio

    與父親的親子關系對城鄉的初中生自我概念的影響基本一致，城市初中生與母親的親子關系對其自我概念的影響更為全面；父母教養方式中，父母因子「情感溫暖與理解」與個體自我概念的發展呈正相關，父母因子中「懲罰、嚴厲」 ， 「過分干涉」 ， 「拒絕、否認」與個體自我概念發展呈負相關，與城市初中生相比，農村學生的「母親偏愛」與其自我概念呈正相關。
  9. This paper proposes an improved model called ibbk, which punishes severely on deceit using punishment factor, cuts down malicious recommendation dangerousness by employing reputation report system, carries out various punishment to entities in different position of the trust path when trust fail, computes combined trust value with weightiness, and. combines local computing and distribute computing to speed up trust path found

    對此，本文提出了一種改進的方案ibbk信任計算模型，新模型引入懲罰因子加大惡意欺騙懲罰；採用信譽報告減少惡意推薦的危害；信任失敗時依據位置進行不同程度的懲罰，對多條路徑的推薦綜合值計算採用加權有效成功經歷次數的方法；採用本地計算與分散式計算相結合的方式減小平均時延。
  10. Improved ga does n ' t depend on choice of penalty factor, competitive elitist model can provide more opportunity to be inherited to offspring for excellent genes, and individual feasibility improved with complex method can accelerate convergence

    同時也說明了本文演算法對懲罰因子的選擇不敏感；競爭最優保留方法能夠給優良基因更大的機會遺傳給後代；復合形法改進個體的可行性能夠加速演算法的收斂。
  11. In the optimal calculation of pipe networks, using genetic algorithms to optimize, by natural number coding. then this thesis simply discuss the selection of initial genetic colony and the reasonable value of penalty function multiplier. it improve the constringency speed of genetic algorithms

    在管網優化計算部分，採用遺傳演算法，用自然數編碼的方式進行遺傳優化，對初始種群的優選，適合度函數中懲罰因子的取值，作了初步的探討，提高了遺傳優化的收斂速度。
  12. Because the uses of svm depends on the selection of kernel function parameter and error warning factor, mebml is used to search for the best parameters, provide a new way of combining support vector machines and mebml to classify and recognize, it solves the problem of svm ' s parameters selection, simulating on the orl face image database, the result shows improved face recognition base on support vector machine are effective

    由於支持向量機的推廣性取決于核函數參數與誤差懲罰因子的選擇，為此採用思維進化演算法對其參數進行優化選擇，提出支持向量機與思維進化演算法相結合的新型演算法進行分類識別，演算法解決了支持向量機參數選取的難題，利用orl人臉庫進行模擬實驗，結果表明，基於改進的支持向量機的人臉識別技術識別效率高、方法有效。
  13. The individual svm is prone to fail in the intrusion detection for the fragility of being attacked. this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection. using a correlation penalty term in the error function, the aggregate members can be accurate and diverse. and the evolutionary strategy is considered as the best way to automatically determine the individ. ual svms hyperparameters. at last we combine the results of all individual svms using ensemble technique. this distributed parallel detection can strengthen the robustness of the system. simulation results show the effectiveness of the method presented in this paper

    在入侵檢測中使用單個的支持向量機容易因"單點失效"而危害系統安全.提出一種基於支持向量機集成的方法來進行入侵檢測.它採用負相關學習技術，在誤差項中使用相關性懲罰因子使得生成的分類器有更好的多樣性和精度;演算法採用進化策略來自動地確定個體支持向量機的超參數，避免了需要了解問題的先驗知識;最後，採用集成技術來組合個體支持向量機的檢測結果.模擬實驗表明這一方法有更好的檢測性能，並且這種分散式并行檢測方法有利於增加入侵檢測系統的魯棒性
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