本文選題：物流行業(yè)　切入點(diǎn)：多元數(shù)據(jù)　出處：《計(jì)算機(jī)仿真》2014年12期

【摘要】：在經(jīng)濟(jì)發(fā)展中,隨著經(jīng)濟(jì)總量GDP情況的不斷變化,最為直接的物流行業(yè)就業(yè)人數(shù)會(huì)發(fā)生較大的波動(dòng),物流就業(yè)人員數(shù)量與GDP數(shù)據(jù)眾多屬性都有關(guān)聯(lián),探索兩者的關(guān)系十分重要。GDP的波動(dòng)與物流行業(yè)的關(guān)系呈現(xiàn)非線性變化,過(guò)多的關(guān)聯(lián)和約束條件使得兩者的整體關(guān)聯(lián)極其復(fù)雜。傳統(tǒng)的評(píng)估模型以單目標(biāo),多約束條件描述這種復(fù)雜關(guān)聯(lián),使得約束條件過(guò)多,無(wú)法控制建模中的殘差,建模結(jié)果籠統(tǒng),模型準(zhǔn)確性不高。提出基于多元數(shù)據(jù)加權(quán)均值的GDP與物流就業(yè)關(guān)系分析模型。根據(jù)經(jīng)濟(jì)GDP數(shù)據(jù)與物流行業(yè)就業(yè)的數(shù)據(jù)采集時(shí)間進(jìn)行劃分,分析數(shù)據(jù)時(shí)域內(nèi)分析結(jié)果殘差與關(guān)系估計(jì)數(shù)據(jù)的關(guān)聯(lián)性,考慮各種情況下,數(shù)據(jù)殘差波動(dòng)與關(guān)聯(lián)性的誤差比率,根據(jù)比率指導(dǎo)建立多元就業(yè)數(shù)據(jù)加權(quán)均值模型,通過(guò)抑制殘差,實(shí)現(xiàn)GDP與物流行業(yè)就業(yè)關(guān)系的準(zhǔn)確建模。實(shí)驗(yàn)結(jié)果表明,利用改進(jìn)方法進(jìn)行經(jīng)濟(jì)危機(jī)下GDP與物流行業(yè)就業(yè)促進(jìn)之間關(guān)系的評(píng)估,能夠提高評(píng)估準(zhǔn)確性。
[Abstract]:In the economic development, with the constant change of the total GDP of the economy, the most direct employment in the logistics industry will fluctuate greatly. The number of the logistics employment is related to the many attributes of the GDP data. It is very important to explore the relationship between the two. The fluctuation of GDP and the relationship between logistics industry show nonlinear change, too much correlation and constraint conditions make the overall correlation between the two extremely complex. The multi-constraint conditions describe this kind of complex relation, which makes the constraints too many and can't control the residual in the modeling. The modeling results are general. The analysis model of the relationship between GDP and logistics employment based on multivariate data weighted mean is put forward. According to the economic GDP data and the data collection time of the logistics industry employment, the paper divides the data collection time of the economic GDP data and the logistics industry employment. When analyzing data, the relationship between residual and relational estimation data is analyzed. Considering the error ratio of data residual fluctuation and correlation, the weighted mean model of multivariate employment data is established according to the guidance of ratio, and the residual error is restrained. The experimental results show that using the improved method to evaluate the relationship between GDP and the employment promotion of logistics industry under the economic crisis can improve the accuracy of the evaluation.
【作者單位】： 西北工業(yè)大學(xué)學(xué)生處;
【分類號(hào)】：F259.2;F124;TP391.9

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本文編號(hào)：1673691