minings

与minings相关的网络例句 [注：此内容来源于网络，仅供参考]

The land use pattern had changed by a relatively large margin in Neijiang city from 1997 to 2005. The main tendency of this change is that with remarkable reduction of cultivated land that decreased by 9936.11hm~2, unutilized land and water area, while garden land, forest land that increased by 7032.23 hm~2, grass land and building land increased notably. And during the research time, the speed of land use type change reduced from garden land, traffic land, forest land, residential areas and industrial and minings land, cultivated land, unutilized land to water area. The main trend of general dynamic degree changed from progressive increase to degression. From the analyses of land use diversion matrix, we know resulting in the quantity change of land use was that cultivated land being occupied by construction,adjustment in structure of agriculture and the implementation of the national reforesting formerly cultivated land policy in Neijiang city.

结果表明：1997～2005年间，土地利用类型发生较大幅度变化，总体上呈现耕地、未利用地、水域面积显著减小和园地、林地、牧草地、建设用地面积增大的趋势，其中耕地面积减幅最大，达9936.11hm~2，林地增幅最大，达7032.23 hm~2；土地利用类型变化速度依次为园地＞交通用地＞林地＞耕地＞居民点及工矿用地＞未利用地＞水域，其中园地为2.67％，水域为-0.01％，综合土地利用动态度呈现先递增后递减的趋势；从土地利用类型转移矩阵分析得出，建设用地占用耕地、农业结构内部调整、&退耕还林&是导致内江市土地利用类型数量变化的重要原因。

Recently, our minings fell across unprecedented survival and developed crisises: resource shortage, labour productivity lowlihead, manufacture's capability to compete low, environmental deterioration and so on.

近年来，我国矿业遇到了空前的生存和发展危机，如资源枯竭、劳动生产率低下、产品竞争力差、环境污染严重等。

Recently, our minings fell across unprecedented survival and developed crisises: resource shortage, labour productivity lowlihead, manufactures capability to compete low, environmental deterioration and so on.

近年来，我国矿业遇到了空前的生存和发展危机，如资源枯竭、劳动生产率低下、产品竞争力差、环境污染严重等。

More importantly, they argue that the size and diversity of the new company will make it less vulnerable to minings painful cycles, and so more attractive to investors.

尤为重要的是，他们认为新公司的规模和产品多样性将有利于公司免受周期性矿业周期阵痛带来的冲击，因而对投资者就更具吸引力。

In sequence, the article put emphasis on data minings applying on credit risk management in banking.

更深入地，文章运用数据挖掘的聚类算法、Logistic回归、决策树方法分别建立信用卡信用评分系统和客户信用评分模型。