linear adj. 1.線的,直線的。 2.長(zhǎng)度的。 3.【數(shù)學(xué)】一次的,線性的。 4.【動(dòng)、植】線狀的;細(xì)長(zhǎng)的。 5.由線條組成的,以線條為主的,強(qiáng)調(diào)線條的。 linear amplification 直線放大。 a linear equation 一次方程式。 a linear leaf 線形葉。 linear arts 線條藝術(shù)。
They can map complicated non-linear functions at infinite precision . in the paper, bp networks are trained as a classifier of the condenser fault . the test shows validity of the classifier is high 本文針對(duì)凝汽器故障非線性的特點(diǎn)和神經(jīng)網(wǎng)絡(luò)所具有的很強(qiáng)的學(xué)習(xí)能力、適應(yīng)能力和魯棒性的優(yōu)點(diǎn),用神經(jīng)網(wǎng)絡(luò)對(duì)凝汽器故障分類(lèi),在matlab軟件中的實(shí)驗(yàn)表明該方法十分有效。
Our results show that the optimal value with a parameter is a monotone decreasing sectionally continuous linear function g \ about parameter a, and the membership function of fuzzy objective sets are a linear function, written as c \ 經(jīng)過(guò)研究發(fā)現(xiàn),其最優(yōu)值是隨著參數(shù)減少而逐漸減少的分段連續(xù)的線性函數(shù)g。另外,模糊目標(biāo)集的隸屬函數(shù)也是一個(gè)線性函數(shù),記為c。
Our results show that the optimal value with a parameter is a monotone decreasing sectionally continuous linear function g \ about parameter a, and the membership function of fuzzy objective sets are a linear function, written as c \ 經(jīng)過(guò)研究發(fā)現(xiàn),其最優(yōu)值是隨著參數(shù)減少而逐漸減少的分段連續(xù)的線性函數(shù)g。另外,模糊目標(biāo)集的隸屬函數(shù)也是一個(gè)線性函數(shù),記為c。
The rolling and the horizontal motion of ship are coupled intensely . meanwhile, the coupling motion is often presented as non-linear function according to experiment results and the ship is usually disturbed by sea wave when it cruises 船舶的橫搖運(yùn)動(dòng)與水平面運(yùn)動(dòng)是強(qiáng)烈耦合的,而這種相互耦合的運(yùn)動(dòng)根據(jù)試驗(yàn)數(shù)據(jù)往往被擬合為非線性函數(shù)的形式,同時(shí)船舶在海上運(yùn)動(dòng)又會(huì)受到海浪的干擾作用。
A general approach toward robust optimal design is proposed which is based on tolerance model and orthogonal experimental method, this method can deal with implicit and high non-linear functions and great variances in design variables 摘要結(jié)合容差模型和正交實(shí)驗(yàn)法的各自特點(diǎn),提出了一種較為實(shí)用的穩(wěn)健優(yōu)化方法,該方法可以處理設(shè)計(jì)函數(shù)為隱函數(shù)或高度非線性函數(shù),設(shè)計(jì)變量的容差可容許大些。
Because compared with traditional bp nn-based ds, rbf network can reach a willful approximation to non-linear function, solving built-in discipline problem of system . also, a good learning speed can be reached . feature extraction is the key problem in intrusion detection 因?yàn)榕c傳統(tǒng)的基于bp神經(jīng)網(wǎng)絡(luò)的入侵檢測(cè)系統(tǒng)相比,rbf網(wǎng)絡(luò)可以對(duì)非線形函數(shù)進(jìn)行任意逼近,解決系統(tǒng)本身的內(nèi)在規(guī)律問(wèn)題,而且速度也比較快。
Wheel company organizational structure designed linear function system based general manager, deputy general manager, secondary manager ( assistant manager ii ), on-site engineers, leaders of class and group, operators, a total of six levels of management 本文的研究對(duì)象具有典型的國(guó)有大中型企業(yè)的特征。因此,本文對(duì)我國(guó)國(guó)有大中型企業(yè),特別是汽車(chē)零部件企業(yè)的組織結(jié)構(gòu)優(yōu)化設(shè)計(jì),提高企業(yè)的核心競(jìng)爭(zhēng)力具有積極的借鑒意義。
Traditional finite element calculation of saturated seepage always takes permeability coefficient as a fixed value, actually the permeability coefficient of unsaturated soil appears to be in a non-linear function relation, and has close relation with volume moisture content and pore water pressure 摘要傳統(tǒng)的有限元飽和滲流計(jì)算往往把滲透系數(shù)取作定值,而實(shí)際上非飽和土滲透系數(shù)呈非線性函數(shù)關(guān)系,與體積含水率、孔隙水壓力密切相關(guān)。
This paper puts forward bp improvable algorithm and exponent prediction pattern depending on neural network " s approach ability to non-linear function . comparing with traditional prediction algorithm, bp algorithm is verified to be feasible and accurate on exponent prediction 本文借助神經(jīng)網(wǎng)絡(luò)對(duì)非線性函數(shù)的逼近能力,提出了bp算法的改進(jìn)型算法及基于bp算法的指數(shù)預(yù)測(cè)模型,通過(guò)對(duì)比傳統(tǒng)預(yù)測(cè)算法,證實(shí)改進(jìn)后bp算法用于證券預(yù)測(cè)的可行性及準(zhǔn)確性。
Several simplified first principle models are used to improve performances of robustness and generalization . the data-driven model, which is either linear function or nonlinear function such as neural network, is adopted to compensate the non-modeling part of the simplified first principle model 多個(gè)簡(jiǎn)化機(jī)理模型用來(lái)提高模型的魯棒性和外推能力;非機(jī)理模型用來(lái)補(bǔ)償簡(jiǎn)化機(jī)理模型的未建模部分,該部分可以是線性模型,也可以是諸如神經(jīng)網(wǎng)絡(luò)的非線性模型。