正常樣式提單 的英文怎麼說

中文拼音 [zhēngchángyàngshìdān]
正常樣式提單 英文
regular long form bill of lading
  • : 正名詞(正月) the first month of the lunar year; the first moon
  • : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
  • : 名詞1 (樣式) type; style 2 (格式) pattern; form 3 (儀式; 典禮) ceremony; ritual 4 (自然科...
  • : 提動詞(垂手拿著) carry (in one's hand with the arm down)
  • 正常 : normal; regular; average
  • 樣式 : pattern; type; style; form; model; modality; genre
  1. The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method

    本文具體內容安排如下:第一章介紹了信用、信用風險、信用評價的概念,回顧了信用評價的歷史、發展和現狀,並綜合各種信用評價模型,指出這些模型各自的優缺點:第二章簡描述了人工智慧技術,著重介紹有關專家系統與神經網路的基礎知識,通過總結它們的優缺點,指出結合專家系統與神經網路構造混合型專家系統的必要性;本章還介紹了神經網路子模塊的概念,出了混合型專家系統的一般框架與設計步驟:第三章對本數據進行處理,包括異數據的剔除、因子分析等,出了信用評價混合型專家系統的具體框架結構,介紹了系統知識庫的主要部分、基於優先級的向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法;第四章介紹了面向對象技術,進而採用面向對象對信用評價系統進行分析,建立了對象模型和功能模型,並在此基礎上,採用c + +語言以規則類為例說明系統中具體類的實現,用偽代碼的形描述了推理的演算法;第五章描述了整個系統的結構,對系統主要功能模塊和界面進行了介紹,並總結系統的特點;第六章總結了全文,指出本文所構造系統存在的不足以及對將來的展望。
分享友人