林業資產信用 的英文怎麼說

中文拼音 [līnyèzīchǎnxìnyòng]
林業資產信用 英文
real credit in forestry
  • 林 : 名詞1 （成片的樹木或竹子） forest; woods; grove 2 （聚集在一起的同類的人或事物） circles; group 3...
  • 業 : Ⅰ名詞1 （行業） line of business; trade; industry 2 （職業） occupation; profession; employment; ...
  • 資 : Ⅰ名詞1 （錢財; 費用） money; wealth; expenses 2 （資質） intelligence; endowment 3 （資格） quali...
  • 產 : Ⅰ動詞1 （人或動物的幼體從母體中分離出來） give birth to; be delivered of; breed 2 （創造財富; 生...
  • 用 : Ⅰ動詞1 （使用） use; employ; apply 2 （多用於否定: 需要） need 3 （敬辭: 吃; 喝） eat; drink Ⅱ名...
  • 林業 : forestry林業測量 forestry survey; 林業飛機 forest aircraft; 林業工人 forest worker; forester; 林...
  • 資產 : 1. （財產） property; means 2. （資金） capital fund; capital3. [經] （資金的運用情況） assets
  1. With import and export rights, the international exhibition, investment and financing, and other qualifications, mainly in the following areas : petroleum, chemical engineering ; paints, rubber and plastics. surface treatment ; energy, metallurgy, iron and steel ; wood ; medical, maintenance, pharmaceutical, medical ; textile and leather ; electronic components instrumentation ; communications, radio and television equipment, media programs ; hvac refrigeration, building materials, engineering and construction ; security, protection, fire ; hardware, tools ; iec electrical, lighting ; lamps and accessories, supplies and maintenance ; environmental protection, water treatment ; machinery and equipment industry ; paper, printing and packaging ; logistics ; secondary transfers ; gifts, toys, jewelry ; food, beverage, forestry, animal husbandry and fisheries ; household goods, hotels, beauty care ; it equipment, digital products, software ; office of books, educational equipment ; sports, leisure, sports goods ; wearing apparel, shoes, and hats, bags ; household appliances, audio - visual equipment, professional lighting ; international exhibitions ; transnational agent ; business services, advertising and other areas of international trade, international investment and financing

    具有進出口權、國際會展權、投融資等資質，目前主要從事的領域有：石油、化工；塗料、橡塑、表面處理；能源、冶金、鋼鐵；木材；醫藥、保養、制藥、醫療；紡織、皮革；電子元器件儀器儀表；通信、廣電設備、傳媒節目；暖通製冷、建材、工程建築；安防、防護、消防；五金、工具；電工電氣、照明；汽摩及配件、用品、維修；環保、水處理；機械及行業設備；紙業、印刷、包裝；物流；二手轉讓；禮品、玩具、珠寶首飾；食品、飲料、農林牧副漁；家居用品、酒店、美容護理； it設備、數碼產品、軟體；辦公圖書、教育裝備；運動、休閑、體育用品；服裝服飾、鞋帽箱包；家電、影音設備、專業燈光；國際性展覽會；跨國代理；商務服務、廣告等領域的國際貿易、國際投融資。
  2. 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

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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