計算智能 的英文怎麼說

中文拼音 [suànzhìnéng]
計算智能 英文
ci computational intelligence
  • : Ⅰ動詞1 (計算) count; compute; calculate; number 2 (設想; 打算) plan; plot Ⅱ名詞1 (測量或計算...
  • : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
  • : Ⅰ名詞1 (智慧; 見識) wisdom; intelligence; knowledge 2 (姓氏) a surname Ⅱ形容詞(有智慧; 聰明...
  • : 能名詞(姓氏) a surname
  • 計算 : 1 (求得未知數) count; compute; calculate; reckon; enumerate 2 (考慮; 籌劃) consideration; pla...
  • 智能 : intellect; intelligence; mind; brain power; intellectuality; mentality; noopsyche; brow智能測試 i...
  1. Cheep and good models were strong desired. building model for a complex metallurgic process such as vanadium refining is one of the main focal point in control theory researchs

    隨著計算智能研究的興起,一些新的建模方法如rbf神經網路和遺傳演法等為復雜的冶金工業過程建模提供了新的思路和方法。
  2. 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

    粒子群演法是一種源於鳥群捕食行為的計算智能技術,具有演法簡單、收斂速度較快、全局優化力較強、控制參數較少等優點。
  3. 4. from the point of view of inverse problems in mechanics, two trains of thought for solving ics / ibs computative problems, i. e : by means of intelligence computation method without geometrical modeling and by the aid of finite element inverse analysis method with geometrical modelingare expounded. by comparing these two methods, a feasible, integrated and modularized solution

    從力學反問題的角度出發,闡述了橋梁結構的問題的兩種西南交通大學博士研究生學位論文第n頁思路一一無模型力學反問題的計算智能法解決思路以及有模型力學反問題的有限元法解訣思路。
  4. Computational intelligence ( cl ) is a computing methodology from nature, which simulates and researches the intelligent behavior from the lowest level of the creature. ci develops the traditional style of computation and provides a new approach for solving complex problems

    計算智能是一種仿生方法,它從生物底層對行為進行模擬和研究,拓展了傳統的模式,為復雜問題的求解提供了新的解決辦法。
  5. This paper discusses the construction procedure of converting furnace endpoint prediction model in refining vanadium based on rbf neural networks and genetic algorithms. at first this paper find out the main factor that affects endpoint status according to metallurgy, then build the endpoint prediction model

    本文使用rbf神經網路和遺傳演法建立了轉爐提釩終點預報模型,並取得了較好的效果,為計算智能方法在復雜工業過程建模中的應用作出了有益的嘗試。
  6. 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。
  7. The accomplishment of the human genome project ( hgp ), and the completion of more other genomes, ai will play bigger roles in computational biology and bioinformatics

    隨著人類基因組劃的實施,以及更多生物基因組測序劃的完成,計算智能開始在生物學和生物信息學中得到廣泛的應用。
  8. In order to enhance the applying efficiency of cl, the cause of premature convergence in binary - coded genetic algorithms ( gas ) is analyzed in this dissertation. the drawback of conventional mutation operator in preventing premature convergence is subsequently pointed out. whereafter, a genetic algorithm, which can be implemented via general logic gate circuit, is proposed

    為了提高計算智能的應用效率,本文分析了二進制遺傳演法中早熟收斂的成因,指出了傳統的變異運元在防止早熟收斂方面的不足,提出了一種有效預防早熟現象的二元變異運元,並在此基礎上提出了一種便於用常規邏輯門電路實現的遺傳演法。
  9. Talking about the computational intelligence technology and applications

    計算智能技術及其應用
  10. The reasoning in diagnosis based on computational intelligence is the main topic

    在故障診斷方面,提出了計算智能理論和方法集成的診斷方案。
  11. By the comparison of other algorithms, the experimental results show that the algorithm is effective and of high efficiency

    通過模擬並與其它計算智能方法相比較,證明了此方法的有效性。
  12. Now, combining neuro - fuzzy technique and modern optimization technique is a developing trend in computational intelligence fields

    模糊神經技術和現代優化技術的結合是計算智能的一個發展趨勢。
  13. Because of the complexity of question and the limitation of traditional methods, computational intelligence is developed

    實踐證明,本方法是可行且有效的。由於問題的復雜性和常規演法的局限性,計算智能應運而生。
  14. As an active research direction of intelligent information processing, computational intelligence ( ci ) has attracted many scientists " attention

    作為信息科學發展中有生命活力的一個研究方向,計算智能已經引起了廣泛的關注。
  15. This paper focuses on two kinds of computational intelligence, that is, coa and svm, for modelling and controller design of nonlinear systems

    本論文以混沌優化、支持向量機二種計算智能方法為主,以此研究非線性系統的建模與控制。
  16. Cilib - computational intelligence library. a framework for developing ci algorithms such as particle swarms, evolutionary algorithms, neural networks etc

    計算智能庫。它是用於開發ci演法的一個框架,可以開發如粒子密集度,進化演法,神經網路等。
  17. Naturally, ci is an abstract subject spanning physics, mathematics, computer science, communication, physiology, evolution and psychology

    實際上,計算智能是一門跨越包括物理學、數學、機科學、通訊、生理學、進化理論和心理學等學科在內的深奧科學。
  18. The main research fields are pattern recognition, image processing and analysis, computer vision, artificial intelligence, computational intelligence and signal processing

    主要研究方向:模式識別、圖象處理與分析、機視覺、人工慧、計算智能和信號處理。
  19. Based on this background and by the support of the project " the application of the computational intelligence in vlsi physical design " from sichuan science and technology bureau foundation, this dissertation is intended to develop a tabu search algorithm based on computational intelligence methodology for the placement of vlsi physical design

    由此,基於四川省科技廳基金項目? ? 《計算智能在超大規模集成電路物理設中的應用》 ,本文對計算智能法中的禁忌搜索演法在vlsi電路晶元布局設中的應用進行了一些研究。
  20. Computational intelligence and its application in water conservancy and hydropower engineering ( ph. d. dissertation ) doctoral candidate : xu shigang supervisor : suo lisheng chen shoulun ( hohai university, nanjing, 210098 ) abstract computational intelligence ( ci ) which includes evolutionary computation ( ec ), neural networks ( nn ) and fuzzy system is a new subject developing rapidly

    計算智能包括進化、神經網路和模糊理論,是一門正在迅速發展的學科。本文對遺傳演法、前饋神經網路、自組織特徵映射神經網路及雜合系統進行較為系統的研究,並將成果應用於水利水電工程中,形成了理論、方法與應用研究的完整體系,其主要內容如下: 1
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