pattern recognition algorithm中文是什么意思

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中文翻譯
造句

圖型辨識(shí)處理步驟

recognition algorithm 褒別算法; 識(shí)別算法
pattern recognition 程式識(shí)別; 模式辨認(rèn); 模式辮認(rèn); 模式識(shí)別模式識(shí)別; 圖案識(shí)別; 圖像識(shí)別; 圖象識(shí)別; 圖形識(shí)別; 圖樣識(shí)別; 型樣識(shí)別; 形式識(shí)別,形式辨識(shí); 樣式辨認(rèn)
recognition pattern 圖像識(shí)別
algorithm pattern 算法圖, 算法模式
comparison of recognition algorithm 識(shí)別算法比較
motivation recognition algorithm 動(dòng)機(jī)識(shí)別算法
syntax-directed recognition algorithm 面向語(yǔ)法的識(shí)別算法; 語(yǔ)法指導(dǎo)的識(shí)別算法
adaptive pattern recognition processing 自適應(yīng)模式識(shí)別處理
alarms based on pattern recognition 模式識(shí)別執(zhí)警
algebraic formal pattern recognition 代數(shù)形式模式識(shí)別
an introduction to pattern recognition 模式識(shí)別導(dǎo)論
automated pattern recognition 自動(dòng)模式識(shí)別
autoregressive pattern recognition 自回歸模式識(shí)別
binary scale pattern recognition 二值標(biāo)度圖案識(shí)別
bit string pattern recognition 位串模式識(shí)別
capture range of pattern recognition 圖案識(shí)別之捕捉范圍
computer pattern recognition 計(jì)算機(jī)模式識(shí)別
computerized pattern recognition 計(jì)算機(jī)型識(shí)別儀
digital automatic pattern recognition 自動(dòng)數(shù)字模式識(shí)別
electrochemistry pattern recognition 電化學(xué)模式識(shí)別
emg pattern-recognition control 肌電模式識(shí)別控制:一種肌電假肢的控制方案
fuzzy pattern recognition 模糊模式識(shí)別; 模糊形態(tài)識(shí)別
gray scale pattern recognition 灰色標(biāo)度器案識(shí)別
hierarchical pattern recognition 分層模式識(shí)別
image pattern recognition 圖像模式識(shí)別

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例句與用法

A pattern recognition algorithm of neural network based on cash character
一種基于貨幣特征的神經(jīng)網(wǎng)絡(luò)模式識(shí)別算法
Data compression and pattern recognition algorithm in a universal infrared
通用學(xué)習(xí)式紅外遙控器中數(shù)據(jù)壓縮與識(shí)別算法
Secondly, a financial document pattern recognition algorithm based on the fact that different financial documents have different geometrical structures is proposed
在分析這些算法優(yōu)缺點(diǎn)的基礎(chǔ)上，根據(jù)票據(jù)圖像中線(xiàn)條的特點(diǎn)給出了一個(gè)基于規(guī)則的搜索?跟蹤線(xiàn)段檢取算法。
In addition, as the hardware platform of electronic nose, the system can be used to develop researches such as pattern recognition algorithm and others . it has shown good performance in the studies of novel micro gas sensor array and electronic nose
另外，作為電子鼻的硬件平臺(tái)，該系統(tǒng)可以用于電子鼻的模式識(shí)別算法及其它各種應(yīng)用研究，它已經(jīng)成功地應(yīng)用于新型微結(jié)構(gòu)傳感器陣列和電子鼻的研究。
This algorithm effectively overcomes the contradictions of traditional algorithm among recognition success rate, recognition time and storage capacity . and this algorithm has been improved notably in aspects of database capacity and real-time, comparing with traditional star pattern recognition algorithm
它有效地解決了傳統(tǒng)算法在識(shí)別成功率、識(shí)別時(shí)間與存儲(chǔ)量之間的矛盾，并且在數(shù)據(jù)庫(kù)容量、實(shí)時(shí)性等方面較傳統(tǒng)星圖識(shí)別算法有顯著改善。
In this dissertation, the construction and application of en systems in the identification of different brands of cigarettes and the detection of alcohol with gasoline interference were analyzed, and progress was achieved in the design and realization of gas sampling system, pattern recognition algorithm and experimental strategies
本文研究了電子鼻在卷煙鑒別和存在汽油干擾的酒精檢測(cè)中的應(yīng)用，在電子鼻系統(tǒng)的進(jìn)樣結(jié)構(gòu)設(shè)計(jì)、模式識(shí)別算法以及實(shí)驗(yàn)條件及方法等方面取得了一些進(jìn)展。
In statistical pattern recognition algorithm, the system makes geometry and grey standardize on the images located, then extracts their features base on three kinds of integration projection curve . at last matches them with the feature samples in sample library and output the most suitable image
在人臉的統(tǒng)計(jì)識(shí)別算法中，系統(tǒng)對(duì)定位后的人臉圖像做幾何標(biāo)準(zhǔn)化與灰度標(biāo)準(zhǔn)化處理，并基于三類(lèi)積分投影曲線(xiàn)抽取人臉特征，與樣本庫(kù)中的特征樣本進(jìn)行匹配，選取最為匹配的人臉圖像作為輸出。
Feature extraction through 2-order polynomial fit of the descending part of the response curve made possible a timesaving measurement process . the performances of two pattern recognition algorithms, namely principal component analysis ( pca ) and linear discriminant analysis ( lda ) in practical problems were discussed . artificial neural network ( ann ) was utilized with back-propagation algorithm ( bpa ), and the combination of pca / lda with ann improved the identification performance of the system
基于對(duì)模式識(shí)別系統(tǒng)的深入研究，提出了從響應(yīng)階段數(shù)據(jù)提取特征的方法，節(jié)省了測(cè)試所需時(shí)間；比較了主成分分析法(principalcomponentanalysis,pca)與線(xiàn)性判別式法(lineardiscriminantanalysis,lda)兩種模式識(shí)別方法在實(shí)際應(yīng)用中的不同結(jié)果，分析了原因；設(shè)計(jì)了采用誤差反傳算法back-propagationalgorithm,bpa)的前向人工神經(jīng)網(wǎng)絡(luò)(artificialneuralnetwork,ann)，并指出其應(yīng)用中存在的問(wèn)題，提出了改進(jìn)建議；利用pcalda與ann相結(jié)合的方法改善了系統(tǒng)的識(shí)別性能。
This paper creates two vector-sets through combining the advantages of the two measures . one describes the behavior of normal users and the other describes that of unusual users, and then introduces a pattern recognition algorithm which is used in image processing technique to judge the behavioral attribute of users to be detected
本文嘗試通過(guò)結(jié)合二者的優(yōu)點(diǎn)，同時(shí)創(chuàng)建了描述正常用戶(hù)行為和異常行為兩個(gè)向量集，并引入一種廣泛應(yīng)用于圖象處理技術(shù)中的模式識(shí)別算法依據(jù)這兩個(gè)向量集來(lái)判斷待測(cè)用戶(hù)行為的屬性，識(shí)別出黑客的入侵行為。

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