knowledge incompleteness 中文意思是什麼

knowledge incompleteness 解釋
知識的不完備性
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  • incompleteness : 不完全性
  1. Due to the incompleteness of model library and uncertainty of modeling knowledge, qualitative compositional modeling is a process of " generate and test " during which the composed model must be modified and improved. there are two separate sub - tasks about cm, model composition and model simulation, which communicate with each other through qualitative differential equations ( qde )

    定性模型的特點，決定了定性組合建模是一個需要重復調整和完善的迭代過程，建模與模擬是通過定性微分方程相關聯的兩個子任務，建模是模擬的基礎，模擬是對建模結果的檢驗。
  2. Based on the specilized production of interim products, this paper mainly focuses on the study of two aspects, dealing with the problems such as incompleteness and improperness of costing, inefficient cost controlling, etc. this paper also introduces the delimitation cost calculation method consisting with the characteristics of interim products to facilitate the items of costing ; discusses the demand of financial management development and accounting information quality in the era of knowledge economy ; puts forward a viewpoint that business credits are the excess value in human recourses ; conducts a study on the characteristics of shipyards ’ production organization and management requirements in the view of the features of specialized production of interim products and of the problems in cost calculation concerning ill objectivity, pertinence and poor readability ; and brings out delimitation cost calculation method in terms of batch parts method, thereby enrichs the contents of human resource capital calculation and quality costing of shipbuilding in accordance with the characteristics and requirements of specified interim products production in modern shipbuilding industries, this paper carries out the research of the

    因此，本文基於中間產品專業化生產，針對中國船廠成本核算內容不完整、核算方法不適應，成本控制效果差等問題著重進行了兩方面的研究工作。提出適應中間產品特徵的分層成本計演算法，完善成本核算內容。探討知識經濟時代財務管理發展要求和會計信息質量要求，提出商譽是人力資本超額使用價值的觀點，針對現代造船中間產品專業化生產所具有的特點，以及成本核算中客觀性和相關性差，可讀性不強等問題，研究了船廠生產組織特點和管理要求，提出了延伸于分批零件法的分層成本計演算法，拓展了造船人力資本和質量成本的核算內容。
  3. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  4. Analyses the incompleteness of medical diagnosis experts knowledge and discusses the method of integrating expert system with neural network for the representation and acquisition of expert knowledge, and the single parameter dynamic searching algorithm which acts as the studying algorithm of neural network and works better than bp algorithm, and then presents an intelligent medical diagnostic system designed by integration of expert system and neural network for clinical diagnostic purpose and concludes from test the results that the method of integrating expert system with neural network is effective for representation and acquisition of expert knowledge for medical diagnosis system

    討論了神經網路理論在智能醫療診斷系統方面的應用，在分析醫療診斷專家知識不完備性的基礎上，研究了適應醫療診斷系統專家知識表達與獲取的專家系統與神經網路集成方法.提出了採用單參數動態搜索演算法訓練神經網路，其效果明顯優于傳統的bp演算法.設計了專家系統與神經網路集成的心血管疾病智能醫療診斷系統，在臨床實踐中取得了較好的效果，證明專家系統與神經網路的集成是醫療診斷系統專家知識表達與獲取的有效方法
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