隨機網格模型 的英文怎麼說

中文拼音 [suíjīwǎnggémóxíng]
隨機網格模型 英文
random network model
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 格 : 格象聲詞rattle; gurgle
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 隨機 : random stochasticrandom
  • 網格 : cancellus
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. In the second section, three ( 2 co2 ) scenarios only considering climate change alone ( c scenario ) were generated first, using outputs of the giss, gfdl and ukmo gcms, combined with the baseline. then, climate change scenarios including change in climate variability ( c + v scenario ) were produced, based on 3 hypotheses and the weather generator ( wgen ) in dssat. finally, the ceres - wheat model was run under both the ( c + v ) scenarios and the baseline, and the combined effects of climate change and its variability with doubled co2 on whiter wheat production in the studied region were assessed, based on the results simulated comparison

    在上述第2部分，首先利用baseline和國際上通用的3種大氣環流模型（ gcms ）即giss 、 gfdl和ukmo的有關網格點值，生成了研究區域3種不考慮氣候變率變化的（ 2 co _ 2 ）氣候變化情景（以下簡稱c情景） ；然後，提出了未來氣候變率可能變化的3種假設，並應用dssat （農業技術轉化決策支持系統）中的wgen （隨機天氣發生器） ，分別生成了研究區域（ 2 co _ 2 ）條件下兼顧氣候及其變率的氣候變化情景（以下簡稱c + v情景） ；再后，在上述（ c + v ）情景下分別運行ceres - wheat （作物-環境資源綜合系統-小麥） ，還考慮了大氣co _ 2濃度的直接影響，並與baseline條件下ceres - wheat的模擬值進行比較，在此基礎上評價了（ 2 co _ 2 ）條件下氣候及其變率變化對研究區域冬小麥生產的影響。
  2. Second part - the main contribution and research results of this paper are focused on as follows : ( 1 ) how to use the measurements of a dual frequency gps receiver to determine the ionospheric delay correction model for single frequency gps of a local range ; ( 2 ) how to separate the instrumental biases with the ionospheric delays in gps observation ; ( 3 ) how to establish a large range grid ionosphere model and use the gps data of chinese crust movement observation network to investigate the change law of ionospheric tec of china area ; ( 4 ) how to improve the effectiveness of correcting ionospheric delays for waas ' s users under adverse conditions. ( 5 ) how to establish the basic theory and the corresponding framework of monitoring the stochastic ionospheric disturbance using gps ( 6 ) how to improve the modelling ability of ionospheric delay according to its diurnal, seasonal, annual variations based on gps ; ( 7 ) how to meet the demand of correcting the ionospheric delay of high - precision orbit determination for low - earth satellite using a single frequency gps receiver 1 extracting ( local ) ionospheric information from gps data with high - precision the factors are systematically described and analyzed which limit the precision of using gps data to extract ionospheric delays

    二、具體研究工作的系統報告，主要集中在以下幾方面：研究如何利用單臺雙頻gps接收機的觀測信息確定電離層延遲改正模型，為小范圍的單頻用戶服務；研究如何實時分離gps觀測中的儀器偏差與電離層延遲；研究如何建立較大區域的電離層格網模型，進而初步設想利用中國地殼運動觀測網路深入研究我國領域的電離層的電子濃度變化規律；研究單頻用戶在不利條件下，如何更好地利用電離層延遲改正信息；研究利用gps監測隨機電離層擾動的基本理論和框架方案；研究如何綜合顧及電離層的周日、季節和年變化，進一步提高利用gps模擬電離層延遲的能力；研究如何實現星載單頻gps低軌衛星的精密測軌中的電離層延遲改正要求。
  3. Non - linear dynamical systems and chaotic phenomena. random processes and diffusion. ising model and lattice gas. quantum systems and electronic structures. percolation, fractal and self - similarity. neural network and genetic algorithm

    非線性動力系統與混沌現象、隨機過程和擴散現象、易幸模型與格子氣體的統計模擬、量子系統與電子結構、展透、碎形與自我類似、類神經網路與基因演演算法。
  4. We extend kleinberg s small - world model by allowing each node x to have two more random links to nodes chosen uniformly and randomly within manhattan distance from x

    在此模型中，每個節點除了跟網格的local節點相連外，還跟long - range節點以d - harmonic隨機分佈方式相連。
  5. Further, the codes of the meso - scale structured finite element grids of concrete are developed. ( 2 ) the fortran program to generate random convex polyhedron aggregate based on the topology of spherical aggregates and the codes of the meso - scale structured finite element grids of concrete are developed

    （ 2 ）為了實現骨料模型和其細觀有限元網格的可視化，本文還研究了利用現有商業軟體生成多面體隨機骨料的可視化混合編程的方法。
  6. A good model of the full - grade aggregate concrete with high aggregate content is precondition to successfully execute concrete meso - mechanical simulation, so that the main work in the dissertation is focused on the following study concerning the random aggregate model of dam fully - graded concrete : ( 1 ) based on the topology of spherical aggregates, an algorithm of the random convex polyhedron aggregate model was presented considering the actual aggregate content, grading, and aggregate shape, and corresponding fortran program was developed to generate random convex polyhedron aggregate

    針對全級配大壩混凝土的實際骨料含量和骨料形態，本文做了以下主要工作: （ 1 ）在一種高效率生成的隨機球骨料模型的基礎上，形成隨機凸多面體骨料模型，同時研究了細觀單元屬性判別方法，編制了對含有凸多面體骨料的細觀區域進行結構性有限元網格剖分程序。本文給出的三維隨機骨料模型演算法不但考慮了混凝土的骨料的實際級配和含量，而且計及了骨料的實際形態。
  7. This paper also have a research on bp and hopfield network, by using the nn, it provide a mechanism to deal with the diagnosis equations. the stability, astringency and the feasibility of this method can be strictly proved. the simulation results shows that the proposed methods can perform correct diagnosis in a very short time

    隨后著重研究了bp神經網路與hopfield神經網路模型，並利用其故障診斷機理及特性提出了兩種解故障診斷方程組的神經網路方法，其穩定性、收斂性和可行性都能夠得到嚴格的證明，最後給出了模擬演算法步驟及診斷實例，實驗結果表明該方法對容差模擬電路的故障診斷有很好的改進。
  8. Trough the staggered - mesh finite difference simulations of the wave equations, simulated the propagation of the seismic wave and the relevant zero offset time record in the 2d viscoelastic random medium models

    摘要通過交錯網格有限差分正演，模擬了平面地震波在二維粘彈性隨機介質模型中的傳播及其自激自收時間記錄。
  9. This paper, through the staggered - mesh finite difference simulations of the wave equations, simulated the propagation of the seismic wave and relevant zero offset time record in the various transversely isotropic elastic random medium models

    摘要本文通過交錯網格有限差分正演，模擬了平面地震波在二維橫各向同性彈性隨機介質模型中的傳播及其自激自收時間記錄。
  10. If some of your triangles are clockwise and others are anti - clockwise, backface culling will be messed up, and holes will randomly appear in the mesh when viewer in real - time

    如果有些用順時針，有些逆時針，隱面剔除就會發生錯誤，實時檢測模型時就會看見網格上有隨機出現的漏洞。
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