correct adj. 正確的;恰當(dāng)?shù)?,合適的;(品行等)端正的。 a correct account 正確的說明。 a correct young man 品行端正的青年。 the correct card 〔俚語〕(運(yùn)動(dòng)會等的)節(jié)目單,次序表;禮儀,規(guī)章。 the correct thing 〔俚語〕正事,應(yīng)該的事。 vt. 改正,更正,修正,訂正;調(diào)整,補(bǔ)正(機(jī)件等);校正(印件等);矯正,制止(惡劣傾向等),使中和,解(毒);懲罰,訓(xùn)斥。 correct the proof sheets 改正校樣。 correct a child for disobedience 訓(xùn)斥不聽話的孩子。 I stand corrected. 我承認(rèn)錯(cuò)誤,接受改正。 adv. -ly ,-ness n.
recognition n. 1.認(rèn)識;識出;識別;面熟,認(rèn)得;招呼。 2.承認(rèn),認(rèn)可。 3.褒獎(jiǎng),表揚(yáng);感謝,酬勞。 My recognition of him was immediate. 我一見就認(rèn)得是他。 beyond [out of] recognition (…得)使人認(rèn)不出,(…得)完全改了模樣,面目全非。 escape recognition 使人認(rèn)不出。 give a passing recognition 打一個(gè)過路招呼。 in recognition of 承認(rèn)…而,為酬答…而,按照(功勞等)… (He is rewarded in recognition of his services. 他因功受獎(jiǎng))。 receive [meet with] much recognition 大受賞識,大受注意。 win recognition from 贏得(某人的)賞識,博得(某人的)好評。
Simulation experiments have been made . and the results show that , the correct recognition rate with above 90 % is achi eved by using the algorithms given in this paper 對上述各算法,本文均進(jìn)行了模擬試驗(yàn),結(jié)果表明,綜合運(yùn)用本文中提出的圖像處理與識別方法,正確識別率可達(dá)90以上。
Experimental results demonstrate that kpca is not only good at dimensional reduction , but available to get better performance than conventional pca , of which the correct recognition rate is up to 92 . 5 % 實(shí)驗(yàn)結(jié)果表明,核主成分分析不僅實(shí)現(xiàn)了降維,而且能取得比傳統(tǒng)主成分分析更好的識別性能,正確識別率為92 . 5 % 。
The software uses delphi 6 . 0 do experiments , from the effect of experiment . we could see , its correct recognition rate has reach up to 98 % ( 10 candidates ) this result is satisfying and encouraging 本系統(tǒng)采用delphi6 . 0進(jìn)行軟件開發(fā),對寫字較為規(guī)范正規(guī)的手寫體,其識別率達(dá)到98以上( 10候選) ,取得了令人滿意的結(jié)果。
A b - p neural network classifier is designed to the classification of three types of ship by using the feature vectors . the average correct recognition rate of three types ship reaches to 80 % . the result show that the above techniques based on hos are valid 將上述方法所提取的線譜和連續(xù)譜特征作為特征參量,采用b - p神經(jīng)網(wǎng)絡(luò)對三類船舶實(shí)際噪聲樣本進(jìn)行識別分類,平均正確識別率達(dá)到80 。
In the experiment of speech recognition for isolated chinese phrase , the experimental results demonstrate that this method not only maked radial basis function neural network has better capability of classified , but also improved the correct recognition rate and the training speed 結(jié)果表明,采用此算法的徑向基函數(shù)的神經(jīng)網(wǎng)絡(luò)具有更好的分類能力,訓(xùn)練速度和識別率均優(yōu)于傳統(tǒng)的徑向基函數(shù)網(wǎng)絡(luò)。
It is shown from our simulation that , when snr is no less than 15db , for awgn environment , the correct recognition rate is higher than 98 % and the average recognition time is about 3 . 2s ; for rican environment , the correct recognition rate is higher than 95 % and the average recognition time is about 3 . 26s ; for rican environment , the correct recognition rate is higher than 96 % and the recognition time is about 3 . 28s 仿真分析結(jié)果表明:在snr = 15db條件下,在awgn環(huán)境下,該設(shè)計(jì)的正確識別率不低于98 ,自動(dòng)識別的平均大約時(shí)間為3 . 2秒;在rican環(huán)境下,該設(shè)計(jì)的正確識別率不低于95 ,自動(dòng)識別的平均大約時(shí)間為3 . 26秒;在rummler環(huán)境下,該設(shè)計(jì)的正確識別率不低于96 ,自動(dòng)識別的平均大約時(shí)間為3 . 28秒。
Through close and open cycle tests , the results of experiment show that , this method can improve the correct recognition rate of correlative web pages to upward of 90 % with little decline in efficiency , which is superior to the former one ? probability distributing algorithm . it is supposed to have a good application prospect 經(jīng)過閉式和開式測試,本方法在進(jìn)行大量語料訓(xùn)練后可以使相關(guān)網(wǎng)頁的識別準(zhǔn)確率達(dá)到90以上,比原有的概率分布算法有了明顯的提高,而在算法效率方面基本與原有的算法相當(dāng),顯示出其相當(dāng)?shù)膶?shí)際應(yīng)用價(jià)值。
Two standard databases from yale university and olivetti research laboratory are selected to evaluate the recognition accuracy of the proposed method . the correct recognition rate of 100 % is obtained with the orl database and yale database in all the experiments when we choose only one sample for each person . the result is better than those of other literatures 我們分別對三種圖象庫進(jìn)行實(shí)驗(yàn)研究,在orl人臉圖象庫、 yale大學(xué)的人臉圖象庫以及南京理工大學(xué)人臉圖象庫nustfdb上只取一幅圖象訓(xùn)練分別得到100 、 100和94的識別率。