智能演化 的英文怎麼說

中文拼音 [zhìnéngyǎnhuà]
智能演化 英文
intellectual evolution
  • 智 : 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 : 能名詞（姓氏） a surname
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 智能 : intellect; intelligence; mind; brain power; intellectuality; mentality; noopsyche; brow智能測試 i...
  • 演化 : evolution
  1. Vsp is both a pivotal tache in logistic distribution optimization and indispensable in electronic commerce. it can increase logistic economic benefit and realize logistic rationalization. the systemic study on the theory and method of vsp is the base on the growth of logistic intensivism, the establishment of modem chain of command, the development of its and ec. now, the problem is not only applied to the field of auto transportation, but also to ship avigation communication electricity industry management computer application etc. the algorithm has been applied into many combinatorial optimization problems such as the trainman ' s shift arrangement in avigation the optimization design of cargo arrangement in ship company

    對貨運車輛進行調度優化，可以提高物流經濟效益、實現物流科學化。對貨運車輛調度優化理論與方法進行系統研究是物流集約化發展、建立現代調度指揮系統、發展智能交通運輸系統和開展電子商務的基礎。目前，問題的形式已有很大發展，該問題以不僅僅局限於汽車運輸領域，在水運、航空、通訊、電力、工業管理、計算機應用等領域也有一定的應用，其演算法已用於航空乘務員輪班安排、輪船公司運送貨物經過港口與貨物安排的優化設計、交通車線路安排、生產系統中的計劃與控制等多種組合優化問題。
  2. A kind of new intelligent collective optimization method, bacterial colony chemotaxis ( bcc ) algorithm based on the description of bacterial colony chemotaxis, is presented

    提出一種新型的智能群體優化方法?細菌群體趨藥性優化演算法。
  3. At first, it will discuss the conditions and trend of current network optimization technology and pay much attention to the call quality test, then discuss the data mining algorithms and practical application forms, finally, integrated the algorithms and application forms, discussed how to apply data mining technology to network optimization and the steps to apply data mining in network optimization call quality test system base on the requirement of customer and pay much attention to the function of data mining technology in the system, the design detail of the data mining algorithms and the application result

    文中首先討論網路優化的現狀和發展並重點討論網路優化cqt測試的方法和流程，然後討論數據挖掘的各演算法和實際應用形式，最後將兩者結合，研究如何將數據挖掘應用到網路優化中，並根據客戶對網路優化cqt系統智能化的需求，討論具有數據挖掘功能的網路優化cqt系統的需求、設計和具體實現。在整個cqt系統的討論中，重點討論數據挖掘在cqt系統中的作用、具體演算法設計和應用結果。
  4. The main research issues of this article are as follows : the representation, creation and maintenance of the individuated pattern - base, the improved the improved filtering - matching algorithm and the intelligent filtering system model based on multi - agents

    本文的主要研究內容為以下三個部分：個性化模式庫的表示、建立和維護；改進的過濾匹配演算法；基於多agents的智能過濾系統模型。
  5. A stochastic chance - constrained programming model is put forward for incremental measures program of oilfield, which uses the most increasing output as objective and takes both cost and work quantity into account. at the same time, the process of its hy - brid intelligent algorithm is also provided

    以油田措施增產最大化為目標，兼顧成本、措施量等目標，建立了油田措施配置的隨機機會約束規劃模型，並給出了模型的混合智能演算法。
  6. Because of the defect of long running time and big complexity in the classical job - shop scheduling algorithm, the paper brought forward an intelligent optimization algorithm based on rule ; scheduling process is divided to primary process and optimization process. through the method of ahp ( analytical hierarchy process ), the effect is researched between several rules and estimate. moreover, the results of ahp are used as a measurable standard to scheduling results

    本文針對傳統車間作業調度演算法運行時間長，復雜度大的缺點，提出了基於規則的智能優化調度演算法，將排序的過程分為初始排序與優化排序;基於多目標決策的層次分析方法，得出了各種規則與系統評價指標之間的影響度，其結論為生產計劃方案的選擇提供了定量的參考依據。
  7. With c + + language, iods is composed of traditional optimization methods, knowledge base, inference machine, knowledge acquisition and graphic user interface ( gui ) in windows 2000. this integrated synthesis system performs the intelligentized optimization design for asrv, including the following items : production deduction strategy, knowledge handling technology, traditional optimization methods, evolutionary algorithms and the object - oriented strategy

    此系統利用c + +語言在windows2000環境下編制而成，由優化演算法庫、知識庫、推理機制、知識錄入和圖形用戶界面等幾部分構成；該系統將產生式推理技術、知識處理技術、基於數學規劃的優化演算法、現代優化演算法以及面向對象程序設計方法綜合成一個有機的整體，形成了一個針對再入飛行器氣動布局優化設計的智能優化設計平臺。
  8. The results of simulation show that the hierarchical optimization functions have stronger deceptive so that the algorithms be pendulous among local optimizations. however the evolutionary mechanism based - on graph models being discussed displays its favorable characteristic of intelligent optimizing, such as to overcome deceptive and explore inherent laws on search space. ( 5 ) a method for designing a model framework of situation awareness for ucays based on object - oriented bayesian networks is presented

    模擬結果表明，本文所研究的層次化函數確實具有迷惑性，引導演算法在峰值之間飄忽不定，但即使如此，本文提出的基於圖形模型的智能優化機制依然表現出具有克服問題欺騙性，可探索問題內在規律和智能尋優的良好特性。
  9. In consideration of the defects of conventional ga, an improved ga has been investigated in this paper. the evolution speed and quality of the population are directly influenced by the change of the number of chromosomes in ga and by whether the paternal excellent information is passed to the offspring as much as it can. in regard to the questions existing in ga, an algorithm with dynamic population scale is provided in this paper

    在對模擬電荷配置的程序化實現方面，本文採用智能優化方法? ?遺傳演算法（ ga ） ，不過本文針對傳統ga - csm中遺傳演算法的定種群規模遺傳使得父本染色體的多樣性受到限制及同代非同父本進行繁殖、交叉、突變的遺傳方法可能收斂于局部極小值而得不到全局最優解的問題，對其加以改進，提出了一種新方法? ?變種群規模的遺傳演算法。
  10. 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。
  11. Here, we focus on four topics f artificiaj neural 3 : etwork ( ann ), swarm intelli - gence ( si ), evolutionary algorithjn ( ea ) and dna computing

    本文探討4個主題：人工神經元網路，群體智能，演化演算法和dna計算。
  12. 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。
  13. First, based on comprehension analysis of the present study status on optimizing method to displacement back analysis in underground engineering home and abroad, intelligent optimizing method, which fits the features of underground engineering, has been developed by introducing annealing algorithm and genetic algorithm and improving them. second, according to practical features of nonlinear displacement for underground engineering, the mechanical model on back analysis to initial ground stress and mechanical parameters of surrounding rock mass in underground engineering is established, which is based on the measuring results of displacement of convergence in underground holes. while, by introducing finite element method and combining improved annealing algorithm and improved genetic - annealing algorithm, the theory and method of elastic - plastic displacement back analysis to surrounding rock in underground engineering has been founded

    首先，本文在綜合分析國內外地下工程優化位移反分析方法研究現狀的基礎上，引進模擬退火與遺傳演算法，並對其進行改進，建立了適合於地下工程問題特點的智能優化演算法;其次，根據地下工程非線性特點，基於地下工程洞周收斂位移量測結果，建立了用於地下工程初始地應力與圍巖力學參數反演分析的力學模型，並引進有限元分析手段，結合改進模擬退火演算法與改進遺傳-模擬退火演算法，分別建立了基於這兩種智能優化演算法的地下工程圍巖彈塑性位移反分析理論與方法，並開發了相應的分析計算程序，為地下工程圍巖穩定性與開挖順序優化分析奠定了基礎;然後，在上述基礎上，根據地下工程開挖施工順序優化設計的特點，建立了基於圍巖塑性區面積的地下工程開挖施工順序優化分析模型，基於改進模擬退火演算法與改進遺傳-模擬退火演算法建立了地下工程開挖施工順序優化分析方法，並開發了相應的分析計算程序;最後，將上述分析計算程序用於工程實例分析，探討了其應用方法，證明了該文研究成果的合理性和可靠性。
  14. In this thesis a modern global algorithm, tabu algorithm, is presented in this thesis. it is an intelligent optimization and extends the local optimization. a two - phase permanent magnet synchronous motor is optimized by improved tabu algorithm

    本文研究的是一種全局智能優化演算法?禁忌搜索優化演算法，並用於兩相永磁同步電動機，同時還設計了一臺性能優良、可靠的兩相變頻電源，在此基礎上進行了實驗。
  15. The method of joint inversion of seismic data and well - logging based on intelligent algorithm is built which includes the special merits of intelligent algorithms, thought of data - driven and information fusion. this method broke the basic thought of conventional joint inversion, can inverse well - logging properties directly and has overcome the difficulties of conventional joint inversion, such as can avoid the precondition of requested previous model

    本文在前人研究的基礎上，針對這些問題並基於將地震道數據轉化為更容易為地質學家所理解的測井屬性參數的思想；結合智能演算法的特有優勢以及現代信息論中數據驅動和信息融合的思想，提出了測井屬性的地震測井智能聯合反演方法。
  16. The characteristics of a new optimizing algorithm - immune algorithm were discussed. the author presented a model reference adaptive control ( mrac ) based on wave neural networks ( wnn ) optimized by immune algorithm

    論文研究了一種新的智能優化演算法?免疫演算法的特性，並把它用於小波網路的優化設計中，提出了一種基於免疫優化的小波網路模型參考自適應控制策略。
  17. 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。
  18. Taking the nozzle, parallel capacitor and shading cover into consideration in the calculation. based on it, for solving disadvantage of contrived interfe re of the conventional charge simulation method, it ' s the first time to propose the optimization charge simulation method in this thesis, and numerical computation for the demonstrated example have been achieved to verify the feasibility and validity

    並在此基礎上，針對傳統模擬電荷法在具體應用過程中人為干預的問題，首次將遺傳演算法引入模擬電荷法的布點設計中，提出了智能優化模擬電荷法的新方法，並對具體實例進行電場數值求解，驗證其可行性和有效性。
  19. Taken virtual design environment as its shell, intelligent optimization algorithms as its kernel, virtual reality interactive devices and human - computer interface as its channel, a scheme of hmb virtual design system based on intelligent optimization was presented

    該方法以虛擬設計環境為外殼，以智能優化演算法為內核，以虛擬現實交互設備和智能優化演算法的人機介面為渠道，構建液壓集成塊智能型虛擬設計系統。
  20. Based on above, we proposed the intelligently optimized and comprehensive diagnosis approach - genetic algorithm ( ga ) - based intelligently optimized diagnosis algorithm which is introduced in detail in this paper. following basic theory and approach about ga, optimized objective function is decided through fuzzy logic theory, then fitness function is derived and at last how to optimize and diagnose pattern parameters intelligently is discussed with ga, including coding approach, interlace, probability selection and single copy of optimizing parameters. based on our cooperative engineer, intelligent optimization and noise diagnosis processes are discussed and diagrammized in the software designing

    基於這些理論，我們研究出一種智能優化和綜合智能診斷方法，即基於模糊遺傳演算法（ f ? ga ）的智能優化診斷方法，論文對該方法作了詳細介紹：首先介紹了遺傳演算法的基本理論及方法，接著用模糊推理理論確定優化目標函數，然後根據優化目標函數導出適應度函數，最後介紹了如何用遺傳演算法對花紋參數進行智能優化和噪聲智能診斷的，其中，講述了各個待優化參數的編碼方法、交叉、概率選擇復制個體方法等。
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