Software based on neural network ( NN ) to compensate machine tools therm al deformation is studied.
研究了以神經(jīng)網(wǎng)絡(luò) ( NN ) 為模型的軟件補(bǔ)償不同機(jī)床熱誤差.
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DR 1 another form of the wheel and also her home five NN different, more performance - oriented.
另外DR1的輪轂造型也和國內(nèi)的五娃NN不一樣, 顯得更加高性能化.
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An effective data mining and forecasting method based on GA - NN in network management databases is provided.
提出一種基于GA-NN技術(shù)的網(wǎng)絡(luò)管理數(shù)據(jù)庫有效數(shù)據(jù)開采和預(yù)測(cè)方法.
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The project is led by NN the funding director of the media laboratory at the MIT.
該項(xiàng)目是有麻省理工學(xué)院媒體實(shí)驗(yàn)室的創(chuàng)始人NN領(lǐng)導(dǎo)的.
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This paper presents a nearest neighbor ( MK NN ) track correlation algorithm applying to distributed multisensor data fusion.
提出一種適合于分布式多傳感器數(shù)據(jù)融合的新的航跡相關(guān)算法 ( MK-NN ).
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This work further con - firms the HTL model for NN _ 1 and NN _ 2 centers.
本工作證實(shí)了NN_1和NN_3中心的HTL模型.
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Ach, Chen Jing ist doch so d ü nn, lasst uns Hummer nehmen!
哎, 陳靜這么瘦,根本不用減.我們還是吃龍蝦吧!
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The NN slow subsystem keeps the control signal from being saturated.
神經(jīng)網(wǎng)絡(luò)緩慢子系統(tǒng)防止控制信號(hào)被飽和.
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The NN controller is trained with evolutionary computation and back propagation.
進(jìn)化算法和反向傳播被用于神經(jīng)網(wǎng)絡(luò)的訓(xùn)練.
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The mature trained BP NN, which substitutes for the standard meter checkout way.
本文運(yùn)用了神經(jīng)網(wǎng)絡(luò)技術(shù),用訓(xùn)練成熟的多層前向BP神經(jīng)網(wǎng)絡(luò)取代了電能表校驗(yàn)的標(biāo)準(zhǔn)表.
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Aim at the specialties of BP, NN based on isolation niche technique Genetic Algorithm is proposed.
針對(duì)BP神經(jīng) 網(wǎng)絡(luò)運(yùn)行的特點(diǎn),提出用隔離小生境遺傳算法優(yōu)化傳統(tǒng)的BP網(wǎng)絡(luò).
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Also the NN model was compared with the models obtained respectively by multi - linear and nonlinear regression.
并與多元線性和非線性回歸模型作了比較.
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The resultsdemonstrat that three electron trape ( E _ c - 0.17 eV , E _ c - 0.23 eV, E _ c - 0.39 eV ) produced inp ￣ + nn ￣ + structures are characterized by deep level transient spectroscopy.
還可引入三個(gè)缺陷能級(jí):氧空位E_ 1(E_ c - 0.17ev) 、 雙空位E_2 ( E_ c-0.23eV ) 和E_3(E_c-0.39eV).
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The NN model for the molar diamagnetic susceptibilities appears more reliable than the MLR model.
而人工神經(jīng)網(wǎng)絡(luò)模型對(duì)摩爾反磁磁化率的預(yù)測(cè)結(jié)果比多元線性模型似乎更精確.
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NN inverse control under the - step predictive index function is used in temperature of Air - conditioning control system.
將本文提出的多步預(yù)測(cè)性能指標(biāo)函數(shù)下的神經(jīng)網(wǎng)絡(luò)控制方法應(yīng)用在 空調(diào)房間 溫度自動(dòng)控制系統(tǒng)中.
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