selection algorithm 中文意思是什麼
selection algorithm
解釋
選擇演算法-
Feature selection algorithm based on potential difference
基於位差的屬性選擇演算法 -
We propose domain ontology based template selection algorithm, which overcomes the shortages of existing selection algorithm based keyword lack of semantic description
將領域本體與服務組合模板相結合，提出了基於領域本體的模板檢索演算法和基於內容的服務推薦演算法。 -
Second, the current routing protocols of wireless sensor network are analyzed, aiming at the disadvantage that the protocols have high power dissipation and short lifetime. based on the leach routing protocol, we improve the leach routing protocol, and then name the advanced routing protocol leach new, in which we improve cluster head selection algorithm and optimal cluster number determination of leach respectively
並重點對現有的無線傳感器網路路由協議進行了分析研究，針對這些協議存在的整體能耗高、網路生命周期短等缺點，在leach路由協議基礎上，對leach路由協議進行了改進，我們把改進后的路由協議稱為leachnew 。 -
Also with the help of graph rewriting, a new decision selection algorithm is proposed. this algorithm takes advantage of the weighted vertex cover algorithm, finds the vertexes with different color, and puts the minimum one into the group of chosen by sequence
同時，利用圖重寫規則實現了一個決策選擇演算法:採用圖的最小頂點覆蓋集合的演算法，首先通過圖著色找出著色相異的頂點，依次將可以使系統效益最大化的決策點加入到決策集合中。 -
The intrusion detection system employs negative selection algorithm to create detectors, optimizes them continuously and maintains efficient memory dete ctors. so it takes the advantages of anomaly detection and misuse detection, overcomes the natural shortcoming of them and can identify known intrusion and novel intrusion in computer systems
它同時兼備了異常檢測法和誤用檢測法的優點，克服了兩者固有的缺陷，因此可以識別任何已知或未知的本地主機上的異常行為模式和網路系統中的異常通信模式。 -
In regard to the knowledge by learning, we present that the super - dimensional cube, which has the characteristic to integrate various knowledge representation conveniently, is used as the architecture of knowledge base. the speediness algorithm of knowledge access, the best matching cube selection algorithm, is discussed in this paper when the super - dimensional cube is used as the architecture of knowledge base. the time complexity of the algorithm is analyzed, and the parallel algorithm is discussed also
在這篇文章中我們提出一種多智能體系統新的協商模型：基於「這是什麼」 （或「要做什麼」 ）學習機制的協商而不是常規的「怎麼做」模型；學習得到的知識，為了方便集成多種知識表示方法，我們運用高維方體的知識庫體系結構，在此基礎上進行快速訪問演算法的設計，分析了演算法的復雜度，並討論了演算法的并行實現；在模型中，我們還根據功能的需要與環境的需要，提出了智能體的三維模型。 -
Thirdly, a new reduced - rank subspace selection algorithm via variable threshold is proposed
進而提出了一種基於可變閾值的降秩子空間選擇演算法。 -
Approaches of immune computing, namely the aine model for unsupervised learning, airs model for supervised learning and the improved model of negative selection algorithm are exploited in an integrated way
綜合運用aine無監督學習模型、 airs有監督學習模型和文中給出的陰性選擇演算法改進模型，提出了基於免疫計算的機構軌跡綜合方法。 -
We mainly present view selection algorithm based on mining frequent query patterns, cache loading algorithm, view - based xml query processing algorithm and incremental xml maintenance algorithm for various update operations
我們主要給出了基於頻繁查詢模式的視圖選擇演算法、緩存裝入演算法、查詢可回答性定義、基於視圖的查詢處理演算法以及針對多種更新的視圖維護演算法。 -
In this paper, negative selection algorithm for artificial immune system ( ais ) is improved by adopting genetic algorithm, in which euclidean distance is selected as fitness function, to generate detectors ( antibodies )
摘要將人工免疫系統的反面選擇演算法作了改進，在產生檢測器時，利用了遺傳演算法，並將歐幾里德距離作為遺傳演算法中的適應函數。 -
Wavelength band selection algorithm based on background radiance subtraction and its application to target detection
減背景的波段選擇演算法及其在目標探測中的應用 -
To increase antibody generating speed in artificial immune system, a chaos negative selection algorithm was presented which is based on the chaotic character of immune system
摘要為了提高人工免疫系統中抗體生成速度，基於免疫系統的混沌特徵，提出了混沌否定選擇演算法。 -
In this paper, we treat the puzzle for gene mapping as a pattern recognition problem and propose a feature selection algorithm ( mpisc ) to mine snp combination remarkably associated with complex trait. this method offers us a new way for gene mapping from a global view
本文中的研究中，我們將基因定位問題看作提取疾病特徵標記（比如snps ）的模式識別問題，提出了snp協作簇的特徵提取演算法mpisc ，這里我們稱一組相互作用的snps為一個協作簇。 -
The characteristics of distributed database are introduced in this paper, common used query optimization algorithms are provided are provided, and the method of selection algorithm is given
介紹了分散式數據庫的特點，詳細闡述了常用的查詢優化演算法的思想，分析了優缺點，給出了演算法選擇的方法。 -
We researched the principle of the lsm, put forward an enhanced rejecting rule of lsm classifiers, and improved on the basic lsm algorithm and the oja ' s dimension selection algorithm of subspace
我們研究了學習子空間方法的原理，對基本學習子空間演算法進行了改進，提出了增強的拒識規則，並改進了oja的子空間維數選擇演算法。 -
In order to make the user interface agent adjust to evolvement of the system, the dissertation also proposes a collaborator selection method - multi - level top - n random selection algorithm that ensures the higher adaptability and flexibility. we study the negotiation in multi - agent system. our research work deals with two different methods of forming cooperative relation
為了使用戶介面agent具有適應系統變化的能力，本文提出了一種選擇合作者的演算法? ?多級top - n隨機選擇演算法，該演算法兼顧了合作者完成任務的歷史情況和能力變化等因素，保證了系統具有較好的適應性和靈活性。 -
This paper analyzes and develops the existing risk analysis model bases on term rewriting system. it divides the group of assets into critical and normal subset, and performs the analysis in separate procedure. this reduces the system complexity, guarantee the priority of the critical assets ; it also introduces and / or attack tree into the attack scenario, cut down the system requirement of space, and provides support for both the coming graph rewriting model and decision selection algorithm
本文針對項重寫風險分析模型中資產的關鍵性級別，劃分出關鍵資產，通過分步的風險分析，實現不僅可以降低系統復雜度，還能有效保證關鍵資產的優先處理;引入了與或攻擊樹構建攻擊場景，節約了運行所需的空間，為后來的決策選擇打下基礎，同時也為以後的圖重寫的風險分析提供依據。 -
It is shown that using backward selection algorithm select centers can minimize the net work output error in great extent, make network structure more simple and more generalization and approximation. furthermoure, the offline control to pangang hot metal desulfuration process is realized using rbfnn model
理論研究和模擬實驗證明： rols法比起批處理正交最小二乘法（ ols ）所需的計算空間小，訓練速度快；用後向選擇法選擇中心能最大程度地減小網路的輸出誤差，使網路結構簡化，並且具有更強的泛化能力和逼近能力。 -
Online selection algorithm of materialized webview
視圖的在線選擇演算法 -
Fast attribute selection algorithm based on fractal dimension
一種基於分形維的快速屬性選擇演算法
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