篩分站 的英文怎麼說
中文拼音 [shāifēnzhàn]
篩分站
英文
screening station-
Namely : high wear - resisting rubber, screen mesh of polyurethane ( pu ), become the domestic biggest producer specializing in high wear - resisting screen mesh, the practical experience for many years, craft is it develop high - quality to apply, durable new product have all over foot industrial demand modernized polyurethane, becoming can produce the production bases of different high wear - resisting screen mesh at home, whom products can select rubber or polyurethane screen mesh for use at home separately coloured, ferrous metal mine enterprise, power station and building materials sift subsystem use, well received by ore dressing circle from home, this mean square garden screen mesh of our company credit can trust among user
即：高耐磨橡膠、聚氨酯（ pu ）篩網，成為國內專業生產高耐磨篩網的最大廠家，有著多年的實踐經驗，將現代化的聚氨酯工藝應用於開發優質、耐用的新產品來滿足工業需求，成為國內能生產各種高耐磨篩網的生產基地，產品可以分別選用橡膠或聚氨酯篩網在國內的有色、黑色金屬礦山企業、水電站及建材篩分系統使用，受到國內選礦界的好評，這就意味著我公司的方園牌篩網在用戶中信用完全可以信賴。By analyzing the rainfall data of 20 hydrological stations in the miyun reservoir basin from 1970 to 1993, the relationship between 45 heavy rainfall events and synoptic situations, nwf outputs, the forecast indexes and synoptic patterns are put forward, and 24 - hour heavy rain forecast equations of june, july, august in the miyun reservoir basin are developed
通過整理1970 - 1993年24年間水庫流域內20個水文站雨量資料，分析45個暴雨天氣樣本與歷史天氣形勢和數值預報產品的關系，篩選出預報指標和預報因子，使用數值預報產品的解釋應用方法，根據天氣環流形勢的分型，分別組建了6 、 7 、 8月每個月份的未來24小時暴雨天氣預報方程。This system called lucas is a web service for extracting, weighing, and ranking terms
試譯：這個被稱為lucas的系統是用於對術語進行提取、篩選和分類的網站服務系統。Usually when visiting a web site, users want to browse some information they need, and the businessman also want to offer content that users need. in this new pattern of e - commerce, when we establish a web site, we must analyze users " characters and customize corresponding web pages, and show different information or advertisement to different users. this paper works over users classification in the customized e - commerce mode
在個性化電子商務這種新的模式下，網站需要分析用戶的特徵，包括用戶的基本信息，如年齡、收入、性別等，和用戶歷次的網上行為，如以往購買產品的品種和經常瀏覽的頁面類型，為用戶篩選出其相對感興趣的產品信息，並制定出相應的個性化頁面，根據個人的情況不同顯示出不同的信息及廣告，從而大大增加客戶滿意度，擴大市場的銷售。分享友人