global selection 中文意思是什麼
global selection
解釋
全局選擇-
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Genetic algorithm ( ga ) is a set of new - global - optimistic search algorithm repeatedly which simulate the process of creature evolution that of darwinian ' s genetic selection and natural elimination
遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的一種新的迭代的全局優化搜索演算法，已經廣泛地應用到組合優化問題求解、自適應控制、規劃設計、機器學習和人工生命等領域。 -
Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm
遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。 -
This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic
本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。 -
Genetic algorithm is a random searching method which simulates natural selection and evolution. this method has some advantages that other usual methods do n ' t have because of its two characters - - - - - - implicit parallelism and global searching
遺傳演算法是模仿自然選擇與進化的隨機搜索方法，由於其隱含并行性和全局搜索特性，使其具有其他常規優化演算法無法擁有的優點。 -
Second, the dissertation addresses the global query rewriting issues of the service oriented spatial data integration. query rewriting and optimization methods are presented based on equivalent transformation of relational operators. we study the data replication issues of spatial data services and presents strategies to deal with data fragmentation and service selection
其次，論文研究了面向空間數據服務集成的全局查詢重構問題，在關系代數等價變換基礎上提出了空間數據服務全局查詢重構和優化方法，並提出了面向分散式空間區域查詢的副本處理方法和資源選擇策略。 -
Genetic algorithm ( ga ) is a kind of highly paralel, stochastic, global probability search algorithm based on the evolutionism such as natural selection, genetic crossover and gene mutation
遺傳演算法是一種基於自然選擇、遺傳雜效和基因變異等生物進化機制的高度并行、隨機、全局性概率搜索演算法。 -
In the algorithm frame, the co - evolution algorithm combing with the niche technique, the selection mode of face - to - rank and pareto classifier, makes the solution of system be global optimal, not local optimal ; and the single objective optimal solution is extended to multiple objective pareto optimal solution
在演算法框架中，協同優化演算法結合了小生境技術、面向排序的選擇模型以及pareto過濾器，使系統設計目標從局部最優進化到全局最優，同時把混合流水生產系統的優化從單一目標最優解擴展到多目標的pareto最優解。 -
Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching
人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。 -
Maximise routing and transit options through multiple sailings per week to global destinations across a selection of preferred carriers
透過一系列首選貨運商每周駛往全球目的地的眾多航班擴大您的路線選擇和運輸選擇 -
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 service provides a collection of designers and a single place where global objects, such as the properties window, can monitor selection change events
服務提供設計器的集合和一個單個位置，全局對象（例如「屬性」窗口）可在此位置監視選擇更改事件。 -
Renowned financial magazine in the u. s. " fortune " global selection of the top 500 enterprises in 2002, the reorganization of the former china life to the total business income ranked 290 spaces, ranked 351 places profits, assets ranked 224 places in the selected country, and has become the only one to enter the mainland insurance global top 500 enterprises
在美國著名財經雜志《財富》評選的2002年度全球500強企業中，重組前的中國人壽以營業總收入排名第290位、利潤排名第351位、資產排名第224位的成績入選，成為我國內地唯一一家進入全球500強的保險企業。 -
Genetic algorithm is a global optimization search method, which is based on biological evolutionary mechanisms such as natural selection, heredity and mutation
摘要遺傳演算法是一種基於自然選擇和遺傳變異等生物進化機制的全局優化搜索演算法。 -
In igaa a simulated annealing algorithm is used to alleviate the selection pressure of the genetic algorithm, and enhance the global convergence of igaa
在改進的遺傳演算法中利用模擬退火的方法可以緩解遺傳演算法的選擇壓力，增強了遺傳演算法的全局收斂性，避免了在搜索過程中陷入局部最優。 -
This paper brought forward global optimized wave impedances mixed inversion based on genetic algorithms with binary character string coding, genetic operation is the best optional optimization preserving strategy operation, multipoint crossover and nonsymmetrical mutation based on researching widely the genetic algorithms ' characteristics of varied coding modes, selection modes, crossover modes and mutation modes in allusion to genetic algorithms is difficult of multi - parameter coding and genetic operation ' s realization for wave impedances inversion
摘要針對遺傳演算法用於波阻抗反演涉及多參數編碼、以及對應遺傳操作不易實現的問題，在廣泛研究了遺傳演算法的各種編碼方式、及其對應的選擇方式、交叉方式以及變異方式特點的基礎上，提出了採用二進制字元串編碼、遺傳操作為最優保存策略選擇、多點交叉和非均勻變異的遺傳演算法，基於該演算法形成了全局尋優的波阻抗混合反演方法。 -
It has firstly started cooperation with the global unity association of chinese tv media and carried out the selection process of the event “ golden q award of global chinese tv ”
並與「全球華語電視媒體聯合會」合作，隆重推出首屆「全球華語電視金球獎」評獎活動。 -
The results of the study indicate that the selection of the tilting angle has important effect on the global stability of the arch bridge and the tilting angle of the arch rib should be preferably about 10
結果表明，拱肋側傾角的選擇對拱橋的整體穩定性有重要的影響，拱肋側傾角以10左右為佳。 -
Genetic algorithm is a global algorithm which uses natural law " survival of the fittest, extinction of the unfitness " and natural selection mechanism to guide and determinate search direction
遺傳演算法是全局優化的搜索演算法，它利用優勝劣汰的自然選擇來指導和學習以確定搜索方向。 -
Genetic algorithm ( ga ) is a global algorithm which uses natural law " survival of the fittest, extinction of the unfitness " and natural selection and heredity mechanism to guide and determinate search direction
因此，本文在前人的基礎上，探討了基於rbf神經網路的ect圖像重建方法。遺傳演算法是一類借鑒生物界優勝劣汰的自然選擇和自然遺傳機制的全局優化演算法。
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