computer-weighted 中文意思是什麼

computer-weighted 解釋
計算機加權的
  • computer : n. 1. 計算者。2. (電子)計算機;計量器。-ism 電子計算機主義〈認為電子計算機萬能等〉。-erite, -nik 計算機專家;計算機工作者。
  1. The computer simulations indicated that the weighted subspace fitting technique in the beamspace possessed a significant advance of 2 - d estimation for coherent sources

    計算機模擬表明,在波束空間內的加權子空間擬合技術具有良好的相干信源二維波達方向估計性能。
  2. Firstly in this part, computer simulation methodology based on the baecher model for generating network of discrete fractures was presented, which includes the follow details : probability distributions of fracture density, orientation, trace length, size, and aperture and estimation of their statistical parameters ; stochastic models of fracture network ; monte - carlo ' s simulation method ; numerical simulation procedure and technicality. then, boundary element method was used to calculate flow through the generated fractured network. assuming single fracture as a two - dimension inexpressible isotropic porous media, boundary element method equations for flow in single fracture and then in fracture network were derived using the weighted residual method

    給出了離散裂隙網路模型所依據的基本假定;發展了基於baecher模型的離散裂隙網路計算機隨機生成技術:詳細地推導了單裂隙滲流和多裂隙相交網路滲流的邊界單元法公式,發展了離散裂隙網路中穩態滲流的邊界元數值技術,並且討論了相關的具體數值技術細節,如角點的處理方法,單元的自動剖分等:描述了混合邊界元?管流模擬方法及其數值實現;研究了裂隙網路的簡化方法,並針對裂隙網路邊界元法的特點提出了一種改進的分塊三角分解法。
  3. Now, there are quite research findings on both the algorithm for weighted association rule and the algorithm for constraint association rule, but there is few algorithm for weighted and constraint association rule. we propose the algorithm for the system of information of computer - saling to think about the different payoff for different fittings of computer and to get only the information that we are interested in. the algorithm is useful for the later management of the saling - computer

    目前國內、外對加權關聯規則提取演算法和約束關聯規則提取演算法的分別研究已取得了很多成果,但是結合這兩種情況,同時考慮加權與約束兩個因素的關聯規則提取演算法還不多見。筆者結合電腦賣場信息支持系統的實際需要,提出了既考慮配件的盈利不同,又兼顧挖掘感興趣的信息內容的關聯規則提取演算法。
  4. With the coming of information age, more and more people realize the importance of information. useful information hidden in plenty of data needs mining energently. the technology of data mining arises and develops unders such circumstance. the main tast of data mining is to extract or mine the useful information from the data. we can get great amount of data from the computer transaction every day. the data is very useful for us to make decisions on management. the paper concludes and introduces association rule about its concept, sort, model and step for mining the data, measure and some basic algorithm on the basis of the at research. at the same time, we analyse hopfield - network ' smodel, character, energy - function, movement - equation and so on. moreover, to the requirement of the system of information of computer - saling, we have done the following and there are good result. fisrt, considering the weight and constraint, we propose the algorithm for the weighted and constraint association rule

    本文首先對數據挖掘中的關聯規則和神經網路的已有成果作了詳細深入的調研,歸納和整理了關聯規則的概念、分類、關聯規則挖掘的模型與步驟、關聯規則的度量方法以及一些基本演算法;還歸納和整理了hopfield網路的模型、特徵、能量函數、運動方程等,並在此基礎上,結合電腦賣場信息支持系統提出的需求,做了如下工作,並取得了一定的成果和成效: ( 1 )考慮加權與約束兩種情況,提出了既帶權重又帶約束的關聯規則提取演算法。
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