generalized regression中文什么意思

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廣義回歸

regression: n. 1.復(fù)歸，回歸。 2.退步，退化。 3.【天文學(xué)】退行。 adj. -sive ,-sively adv.
generalized: 廣義的; 惠遍原則; 全身播散性的; 全身性的; 通用化; 推廣的; 無(wú)顯著特點(diǎn)的; 一般化
adaptive regression: 適應(yīng)退化; 適應(yīng)消退
age regression: 返童記憶; 返童現(xiàn)象
analysis of regression: 回歸分析

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the solution is realized by generalized regression neural network, and is proved by experiment
利用廣義回歸神經(jīng)網(wǎng)絡(luò)來(lái)實(shí)現(xiàn),并做了相關(guān)實(shí)驗(yàn)。
the correlation model between main chemical compositions and sensory qualities of flue-cured tobaccos was constructed by generalized regression neural network ( grnn )
摘要采用廣義回歸神經(jīng)網(wǎng)絡(luò)分別對(duì)烤煙的主要化學(xué)成分與香氣質(zhì)、香氣量、雜氣、刺激、馀味、勁頭和煙氣濃度等感官質(zhì)量進(jìn)行建模。
this paper presented a kind of nn modeling method named generalized regression neural network ( grnn ), through which the physical, mechanical properties of chinese fir could be obtained from its internal structure parameters
摘要給出由木材內(nèi)部結(jié)構(gòu)參數(shù)確定其物理力學(xué)特徵的神經(jīng)網(wǎng)絡(luò)設(shè)計(jì)與實(shí)現(xiàn)的方法廣義回歸神經(jīng)網(wǎng)絡(luò)(grnn)模型。
in chapter five, algorithm of load identification is discussed in detail . levenberg ? marquardt algorithm and generalized regression neural network are used to identify the position and degree of the one load on the surface of the airfoil, correlation analysis algorithm of multi-load identification is also proposed in the paper
第五章重點(diǎn)論述了系統(tǒng)設(shè)計(jì)中的載荷識(shí)別算法,采用人工神經(jīng)網(wǎng)絡(luò)lm-bp算法及廣義回歸網(wǎng)絡(luò)對(duì)單個(gè)載荷大小、位置進(jìn)行了判定,提出了基于相關(guān)分析的多載荷識(shí)別算法。
ann methods are feasible for the verification measurements in nuclear safeguards . experimental data sets have been used to study the performance of neural networks involving radial basis function neural network and generalized regression neural network ( grnn ) . the optimization of the parameter spreads have been given and the analysis error of grnn no more than 0.2 %
分析結(jié)果表明，使用泛化能力較高的混合訓(xùn)練集訓(xùn)練神經(jīng)網(wǎng)絡(luò)，網(wǎng)絡(luò)給出的富集度值與標(biāo)準(zhǔn)樣品的標(biāo)稱(chēng)值之間的相對(duì)差異小于13%；使用泛化能力相對(duì)較弱的分組訓(xùn)練集訓(xùn)練神經(jīng)網(wǎng)絡(luò)，網(wǎng)絡(luò)給出的分析結(jié)果的不確定度小于2%；使用分組訓(xùn)練集和廣義回歸神經(jīng)網(wǎng)絡(luò)，網(wǎng)絡(luò)給出的分析結(jié)果的不確定度小于0

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generalized regression中文什么意思

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