規則評價序列 的英文怎麼說

中文拼音 [guīzépíngjiàxùliè]
規則評價序列 英文
rule evaluation sequence
  • 規 : Ⅰ名詞1 （畫圓形的工具） instrument for drawing circles 2 （規則; 成例） rule; regulation 3 [機械...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 評 : Ⅰ動詞1. （評論; 批評） comment; criticize; review 2. （評判） judge; appraise Ⅱ名詞（姓氏） a surname
  • 價 : 名詞1. （價格） price 2. （價值） value 3. [化學] （化合價） valence
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 規則 : 1. （規定的制度或章程） rule; regulation; ordination; prescribed procedure; rope 2. （整齊） regular
  • 評價 : appraise; evaluate; assess; estimate; valuation
  1. The main idea of this hybrid algorithm is : at first, all candidates in task collection is lined according to a dispatching rule ( earliest due date, edd ), then this linear queue is divided into some tiers under a criterion that partial order is not allowed to exist in the every tier, many feasible sequences is generated by constructing a neighborhood of a initial sequence in every tier, the allocation of the resources over time is conducted to perform every feasible task sequence, and a set of approximate optimal scheduling schemes is achieved as the precondition of the next tier ’ s disposal in meeting multiple scheduling objectives to obtain the global near - optimal schedule which makes these program run tier by tier until the last task is completed

    該演算法按照最早完工時間優先（ ect ）分派規則，先將參加排序的工序合併成一個串列序列，然後按照同層內不存在偏序關系的原則，將其分解為若干個時間上相互銜接的層次，在每個層次內部，通過構造鄰域產生出多個可行序列，對每個可行序列進行設備配置，採用鄰域搜索演算法進行方案的尋優，保留一組滿足評價要求的可行方案作為下一層設備配置的背景環境，通過層層遞進最終獲取全局的近似最優解。
  2. Thirdly, by introducing fuzzy theory into system evaluation, evaluating student, teaching, course resource, and function of whole system. fourthly, making use of learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. finally, on reasoning mechanism, combining means of two classes reasoning is taken

    第三，在系統評價中引入了模糊理論，對學生、教學、課程資源以及系統的整體功能進行了評價；第四，採用基於信息論的示例學習，改進了決策樹學習演算法，並建立了機器學習決策樹；第五，在推理機制上，採取兩級推理相結合的方法進行推理，即用基於語義網路的模糊推理確定教學序列，用基於產生式規則的推理確定教學方法，並給出了詳細的推理演算法。
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