36计的英文翻译,很有趣

1.瞒天过海 Cross the sea under camouflage.
2.围魏救赵 Relieve the state of Zhao by besieging the state of Wei.
3.借刀杀人 Kill someone with a borrowed knife.
4.以逸待劳 Wait for the exhausted enemy at one's ease.
5.趁火打劫 Loot a burning house.
6.声东击西 Clamour in the east, attack in the west.
7.无中生有 Create something out of nothing.
8.暗渡陈仓 Pretend to take one path while sneaking down the other.
9.隔岸观火 Watch a fire burning from the other side of the river.
10.笑里藏刀 Knife hidden under the smiling face.
11.李代桃僵 Sacrifice the plum for the peach.
12.顺手牵羊 Take the opportunity to pilfer a goat.
13.打草惊蛇 Disturb the snake by hitting the grass.
14.借尸还魂 Borrow another's body to return the soul.
15.调虎离山 Entice the tiger to leave the mountain.
16.欲擒故纵 To catch something, first let it go.
17.抛砖引玉 Bait a piece of jade with a brick.
18.擒贼擒王 To catch the bandit,first capture their leader.
19.釜底抽薪 Take away the firewood under the cooking pot.
20.混水摸鱼 Fish in troubled water.
21.金蝉脱壳 Get away like the cicada sloughing its skin.
22.关门捉贼 Shut the door to catch the thief.
23.远交近攻 Befriend a distant state while attacking a neighbor.
24.假途伐虢 Obtain safe passage to conquer the enemy.
25.偷梁换柱 Replace the beams with rotten timbers.
26.指桑骂槐 Revile the locust tree while pointing at the mulberry.
27.假痴不癫 Play dumb, remain smart.
28.上屋抽梯 Pull down the ladder after ascent.
29.树上开花 Deck the tree with bogus blossom.
30.反客为主 Make the guest and host change places.
31.美人计 The beauty trap; Use seductive women to corrupt the enemy.
32.空城计 Present a bold front to conceal unpreparedness.
33.反间计 Sow discord among the enemy; Use double agent.
34.苦肉计 Inflict injury upon oneself to gain trust.
35.连环计 Chain together the enemy's ships.
36.走为上 Run away to fight another day; Escape is the best policy.

 

【电能质量扰动】基于ML和DWT的电能质量扰动分类方法研究(Matlab实现)内容概要:本文研究了一种基于机器学习(ML)和离散小波变换(DWT)的电能质量扰动分类方法,并提供了Matlab实现方案。首先利用DWT对电能质量信号进行多尺度分解,提取信号的时频域特征,有效捕捉电压暂降、暂升、中断、谐波、闪变等常见扰动的关键信息;随后结合机器学习分类器(如SVM、BP神经网络等)对提取的特征进行训练与分类,实现对不同类型扰动的自动识别与准确区分。该方法充分发挥DWT在信号去噪与特征提取方面的优势,结合ML强大的模式识别能力,提升了分类精度与鲁棒性,具有较强的实用价值。; 适合人群:电气工程、自动化、电力系统及其自动化等相关专业的研究生、科研人员及从事电能质量监测与分析的工程技术人员;具备一定的信号处理基础和Matlab编程能力者更佳。; 使用场景及目标:①应用于智能电网中的电能质量在线监测系统,实现扰动类型的自动识别;②作为高校或科研机构在信号处理、模式识别、电力系统分析等课程的教学案例或科研实验平台;③目标是提高电能质量扰动分类的准确性与效率,为后续的电能治理与设备保护提供决策依据。; 阅读建议:建议读者结合Matlab代码深入理解DWT的实现过程与特征提取步骤,重点关注小波基选择、分解层数设定及特征向量构造对分类性能的影响,并尝试对比不同机器学习模型的分类效果,以全面掌握该方法的核心技术要点。
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