swarm intelligence 中文意思是什麼

swarm intelligence 解釋
蟲群智慧
  • swarm : n 1 （昆蟲的）群，蜂群；【生物學】浮遊單細胞（生物）群，遊走孢子。2 大群；大堆。vi 1 蜂擁成群（而...
  • intelligence : n. 1. 智力，智慧，才智，聰明。2. 通知，消息。3. 情報，諜報，情報機構。4. （導引）信息，（瞄準）信號。5. 【宗教】 〈常pl. 〉神，天使。
  1. Research on ant colony algorithm based on swarm intelligence

    基於群集智能的蟻群演算法研究
  2. Pso idea is an optimization technique inspired by swarm intelligence and theory in general such as bird flocking, fish schooling and even human sacial behavior

    粒子群優化演算法（ particleswarmoptimization簡稱pso ）是一種基於群智能的演化計算技術，源於對鳥群覓食過程中的遷徙和聚集的模擬。
  3. Particle swarm optimization ( pso ) algorithm is a computation intelligence technique, inspired by social behavior of birds flocking. pso algorithm possesses the advantages of simplified, rather quick convergence speed, global optimization performance, and less controlling parameters, et al

    粒子群演算法是一種源於鳥群捕食行為的計算智能技術，具有演算法簡單、收斂速度較快、全局優化能力較強、控制參數較少等優點。
  4. Since it is difficult to directly take complex systems as the research objects to explore their operational mechanisms, it is proposed in this paper that the operational mechanism of general complex systems can be obtained based on the research of the behavior rules of some concrete complex systems, such as the biological ant colony and bird flock with the characteristic of emergence of swarm intelligence

    摘要鑒于直接以一般復雜系統為研究對象探討其運行機制，難度太大，本文提出藉助一類具體的復雜系統具有群集智能涌現特性的生物蟻群和鳥群系統的行為規律研究，作為認識一般復雜系統運行機制的橋梁和過渡。
  5. Based on the discussions of four typical biological prototypes of swarm intelligent behaviors, namely ant colony foraging, ant clustering, labor division in ant colony, and bird flock foraging, the features of swarm intelligence as a system are analyzed in detail and some important implied characteristics, such as distribution, self - organization, and positive feedback, are revealed and expanded

    在論述蟻群覓食、蟻群墓地構造、蟻群勞動分工和鳥群覓食這幾類典型的群集智能行為的生物學原型的基礎上，深入分析了群集智能的系統特徵和所蘊涵的分散式、自組織和正反饋等重要特性，並給出了翔實的論述說明。
  6. According to the addressed characteristics of swarm intelligence, the significance of which to the research of complex systems is summarized from multiple aspects, including revealing the operational mechanism of general complex systems, hastening the research of the complexity of human brain, advancing the innovation of organizational management modes, and promoting the development of the intelligence science

    進而根據文中闡述的群集智能特性，從多個方面概括總結了其對復雜系統研究的意義，包括揭示復雜系統的運行機制、促進人腦復雜性的研究、推進組織管理模式的創新和提升智能科學的發展水平。
  7. Based on underwater vehicle ' s nonlinear differential equation and observation equations, swarm intelligence algorithm is used to identify ten hydrodynamic parameters from simulation observed data of the motions of underwater vehicle

    摘要通過水下航行體的狀態方程和試驗觀測方程，利用智能辨識技術對水下航行體的模擬運動數據進行了模擬辨識，求得了10個水動力參數。
  8. Aimed at the 0 - 1 knapsack problems, the article proposes a kind of hybrid intelligence algorithm combining with the adjusting strategy, the greedy algorithm and the binary particle swarm optimization algorithm

    摘要針對0 - 1背包問題，提出一種具有修復策略的、貪心演算法與二進制粒子群演算法相結合的混合智能演算法。
  9. He is co - author of swarm intelligence : from natural to artificial systems

    他是《蟲群智慧：從自然系統到人工系統》的作者之一。
  10. The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots

    對蜂群或蟻群智慧的研究為人類管理復雜度高的系統提供了一定的洞察力，小到卡車的行程定位，大則對軍用機器人的操控。
  11. Particle swarm algorithm was an optimized algorithm based on swarm intelligence

    摘要粒子群演算法是一類基於群智能的隨機優化演算法。
  12. Swarm intelligence in biology society is introduced firstly

    摘要首先，介紹了生物社會中的群體智能。
  13. The swarm intelligence algorithm includes ant colony optimization ( aco ) and particle swarm optimization ( pso )

    群體智能演算法包括蟻群演算法和微粒群演算法。
  14. When it comes to swarm intelligence, ants aren ' t the only insects with something useful to teach us

    涉及到群體智能，螞蟻並不是唯一一種讓人類受啟發的昆蟲。
  15. The swarm intelligence algorithm and the theory of vector quantization ( vq ) data compression are summarized systemically in the paper

    本文較系統地綜述了群體智能演算法和矢量量化數據壓縮理論。
  16. Finally, the simulation on clustering task is given to show the application of swarm intelligence to multi - robot systems

    最後，通過一個物體搜集任務的模擬實例來說明群體智能設計原則在多機器人系統中的應用。
  17. Finally, the paper works are summarized, and some farther research suggestions regarding vq and the swarm intelligence algorithm are provided

    最後對全文的工作進行了總結，對矢量量化技術和群體智能演算法的進一步研究進行了展望。
  18. The uniform framework description of nature - inspired computation is presented, and described with feedback neural network and swarm intelligence algorithms

    摘要對自然計算理念給出統一的框架描述，並以反饋式神經網路和群體智能演算法為例加以具體論述。
  19. Finally some problems in current researches of swarm intelligence are presented and the potential fields of further researches are prospected

    最後對群集智能目前存在的問題和今後有待研究的課題進行了總結和展望。
  20. The swarm intelligence algorithm on combination problems such as tsp are discussed. to overcome the limitation of classical algorithm of vq codebook design, an improved algorithm that combines the swarm intelligence algorithm with the lbg algorithm is proposed

    探討了新興的群體智能演算法在解決諸如tsp組合問題的性能，並針對經典的矢量量化碼書設計演算法的固有缺陷，提出了一種將群體智能演算法和lbg演算法結合的碼書設計演算法。
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