redundancy of attribute 中文意思是什麼

redundancy of attribute 解釋
多餘屬性
  • redundancy : 裁員，多餘；冗餘
  • of : OF ＝Old French 古法語。
  • attribute : vt. 1. 把（某事）歸因於…。2. 認為…系某人所為。n. 1. 屬性，特質。2. （人物、官職等的）標志，表徵。3. 【語法】屬性形容詞。
  1. 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。
  2. Scientific and statistical databases ( ssdb ) have following characters, firstly, relation schema is relatively stable, and each attribute has limited candidate values with high redundancy, secondly, new arrival data only append to the end of current data area and do not change the exist data, thirdly, every relation is made up of plenty of attributes, but majority of queries only relative with less attributes and most queries are read - only queries

    科學與統計數據庫（ scientificandstatisticaldatabase ， ssdb ）具有如下特點: （ 1 ）關系的模式穩定、屬性值的值域有限、數據冗餘大; （ 2 ）新產生的數據只追加到當前數據末尾而不更新已有內容; （ 3 ）每個關系都由大量屬性組成，但大多數查詢只與少數幾個屬性相關且多為只讀操作。
  3. The replicate of the limited class attribute value may result from the relation of one - to - one or one - to - many but the occasional replicate of the unlimited class attribute value is not data redundancy

    無限類屬性值偶爾重復不是數據冗餘，有限類屬性值的重復由一對多或多對多的關系所致，可相機處理之。
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