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real-time identification中文什么意思

發(fā)音:   用"real-time identification"造句
  • 實時辨識
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例句與用法

  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、廉價的、能在現(xiàn)場進(jìn)行污染物質(zhì)實時識別的系統(tǒng)的開發(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)，對無速度傳感器矢量控制系統(tǒng)的轉(zhuǎn)速估計和轉(zhuǎn)子磁鏈觀測進(jìn)行研究，考慮電機(jī)定轉(zhuǎn)子參數(shù)的時變性，對電機(jī)的一些定轉(zhuǎn)子參數(shù)進(jìn)行實時辨識，以保持系統(tǒng)的動態(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)，不適合動態(tài)系統(tǒng)的實時辨識，而遞歸神經(jīng)網(wǎng)絡(luò)能夠?qū)崿F(xiàn)對動態(tài)系統(tǒng)狀態(tài)記憶機(jī)制的模擬，因此更適合于作為動態(tài)時延系統(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)行模式識別以及模糊控制善于描述和利用經(jīng)驗知識、容易進(jìn)行信息處理的特點和優(yōu)點來實現(xiàn)材料參數(shù)的實時識別，同時利用具有模糊神經(jīng)網(wǎng)絡(luò)特點的rbf ( radialbasisfunction )神經(jīng)網(wǎng)絡(luò)對材料參數(shù)進(jìn)行了實時識別研究。

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