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real-time identification造句

"real-time identification"是什么意思   

例句與造句

  1. This effort includes the development of portable , inexpensive systems capable of real - time identification of contaminants in the field
    這種努力包括便攜式的、廉價(jià)的、能在現(xiàn)場(chǎng)進(jìn)行污染物質(zhì)實(shí)時(shí)識(shí)別的系統(tǒng)的開(kāi)發(fā)。
  2. Based on the former researches , the speed estimation and rotor flux observation methods are studied using the theory of model reference adaptive system . considering the time variability of the stator and rotor parameters of induction motors , the methods make real - time identification of the parameters to retain the dynamic performance of the drive system
    在前人研究的基礎(chǔ)上,本文應(yīng)用基于超穩(wěn)定性理論的模型參考自適應(yīng)系統(tǒng),對(duì)無(wú)速度傳感器矢量控制系統(tǒng)的轉(zhuǎn)速估計(jì)和轉(zhuǎn)子磁鏈觀測(cè)進(jìn)行研究,考慮電機(jī)定轉(zhuǎn)子參數(shù)的時(shí)變性,對(duì)電機(jī)的一些定轉(zhuǎn)子參數(shù)進(jìn)行實(shí)時(shí)辨識(shí),以保持系統(tǒng)的動(dòng)態(tài)性能。
  3. Neural networks can be viewed as a universal approximator for nonlinear functions , but the multi - layer feed - forward neural network which be used usually is a static state network in nature , it is disagree with the real - time identification for dynamic system . moreover , recurrent neural networks can simulate the state memory mechanism of dynamic system , so it can be utilized as the model of dynamic time delay system
    神經(jīng)網(wǎng)絡(luò)具有逼近任意連續(xù)非線性函數(shù)的能力,但常用的多層前饋式反傳網(wǎng)絡(luò)本質(zhì)上是一種靜態(tài)網(wǎng)絡(luò),不適合動(dòng)態(tài)系統(tǒng)的實(shí)時(shí)辨識(shí),而遞歸神經(jīng)網(wǎng)絡(luò)能夠?qū)崿F(xiàn)對(duì)動(dòng)態(tài)系統(tǒng)狀態(tài)記憶機(jī)制的模擬,因此更適合于作為動(dòng)態(tài)時(shí)延系統(tǒng)的模型。
  4. The precision and the time of identification will affect the realization of intellectualization directly . this thesis realizes the real - time identification of material properties by using the features and virtues of artificial neural network ( ann ) and fuzzy system . at the same time , this thesis realizes the real - time identification of material properties by using rbf neural network
    本文利用人工神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)能力強(qiáng)、容易進(jìn)行模式識(shí)別以及模糊控制善于描述和利用經(jīng)驗(yàn)知識(shí)、容易進(jìn)行信息處理的特點(diǎn)和優(yōu)點(diǎn)來(lái)實(shí)現(xiàn)材料參數(shù)的實(shí)時(shí)識(shí)別,同時(shí)利用具有模糊神經(jīng)網(wǎng)絡(luò)特點(diǎn)的rbf ( radialbasisfunction )神經(jīng)網(wǎng)絡(luò)對(duì)材料參數(shù)進(jìn)行了實(shí)時(shí)識(shí)別研究。
  5. It's difficult to find real-time identification in a sentence. 用real-time identification造句挺難的

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