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基年的英文

音标:[ jīnián ]  发音:  
"基年"怎么读"基年"的汉语解释用"基年"造句

英文翻译手机手机版

  • basal year
  • base year
  • basic year

例句与用法

  • In spite of that , lee is optimistic of the local air - conditioner market
    尽管如此,李基年对冷气机市场持乐观看法。
  • Secondly , the traffic distribution in space is predicted on the base of the traffic distribution of the original year and the characteristic years in the future
    其次,预测交通量在空间上的分布。主要考虑基年及未来特征年交通量的空间分布等因素。
  • With the introduction of exchange control measures , the 1999 budget and other fiscal , adjustments implemented by the government , ga foresees 1999 to be a year of recovery
    政府实施马币固定汇率措施, 1999年财政预算案及其他措施,李基年预料1999年经济会复苏。
  • Lee said sales continued to grow in the first quarter of this year and the impressive sales record was a result of the support and confidence the dealers had towards york air - conditioning
    基年认为,今年首季的销售量继续增长,这傲人成绩主要是经销商对york冷气机极具信心所致。
  • The sole distributor of york air - conditioning , group associated sdn bhd , has broken its sales record for york air - conditioning in 1997 , said its general manager lee kee nian
    York冷气机总经销商group associated c l私人有限公司总经理李基年透露,该公司已成功打破1997年创下的york冷气机销售记录。
  • The sole distributor of york air - conditioning , group associated sdn bhd , has broken its sales record for york air - conditioning in 1997 , said its general manager lee kee nian . . .
    York冷气机总经销商group associated c l私人有限公司总经理李基年透露,该公司已成功打破1997年创下的york冷气机销售记录。 .
  • Calibration typically entails an iterative process that computes coefficients such that the gravity model replicates the trip length frequency distribution and matches base year productions and / or attractions
    典型的校准在系数计算中通常有一个迭代过程,好像重力模型复制了出行距离频数分布,同时匹配基年发生和吸引。
  • " we believe that by lowering our pricing , the public savings will definitely be boosted up , and the consumers could also enjoy high quality of locally - made air - conditioner at a cheaper price , " said the general manager of ga , encik lee kee nian
    "我们相信调低售价,公共储蓄将增长,而消费者则可以较低的价格拥有高品质的本地制造冷气机。 " ga总经理李基年说。
  • Calibrating the gravity model consists of evaluating the parameters of the impedance function ( or the values in the friction factor table ) so that the gravity model reproduces , as closely as possible , the base year productions and / or attractions and the base year trip length distribution
    校准重力模型就是计算阻抗函数参数(或者摩阻系数表中的值) ,使其尽可能吻合基年产生和吸引,以及基年的出行距离分布。
  • They are agricultural productive materials price growth rate , sown area of grain crops growth rate , grain yield per area growth rate - , natural disaster covered grain areas growth rate , net grain import change rate , grain reserve change rate , population growth rate , per income growth rate , city and town population growth rate , food industry production value growth rate , year - end pig number growth rate , medical & pharmaceutical and textile industry production value growth rate , grain marketization degree , inflation rate using the previous year as base year ( preceding year = 100 ) , public grain purchases price growth rate , investment in agricultural science and technology growth rate , investment in agricultural infrastructure growth rate , growth rate of graduates number from agriculture , forestry , science & technology universities and colleges and specialized secondary schools , government expenditure for agriculture and agricultural credit growth rate , international grain price growth rate , rmb exchange rate growth rate , last grain price growth rate , economic crop price growth rate , , meanwhile , a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world
    在此基础上,筛选出23个警兆指标:农用生产资料价格增长率、粮食播种面积增长率、粮食单产增长率、粮食受灾面积增长率、粮食净进口量变化率、粮食储备变动率、人口增长率、人均收入增长率、城镇人口增长率、食品工业产值增长率、猪年末头数增长率、医药纺织工业产值增长率、粮食市场化程度、以上年为基年的通货膨胀率、国家粮食定购价格增长率、农业科技投入增长率、农业基础设施投入增长率、农、林、科技高校大、中专毕业生人数增长率、财政支农资金比重及农业信贷增长率、国际粮食市场价格增长率、人民币汇率增长率、上期粮食价格增长率、经济作物价格增长率。同时论文在预警方法上作了新的尝试,把粮食价格预警问题转换成一个机器学习问题,引进当前国际上机器学习领域中比较热门的统计学习理论和支持向量机方法,用顺序回归算法对历史数据进行学习建立了粮食价格预警模型。
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