裂紋路經 的英文怎麼說

中文拼音 [lièwénlùjīng]
裂紋路經 英文
crack path
  • 裂 : 裂動詞[方言] （東西的兩部分向兩旁分開） open
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 路經 : swing by
  1. In this paper, the author applied bp algorithm in this subsystem, and a model of crack detection of glass bottle is described. this model enables the detection system to enhance the capabilities of auto - learning and auto - adapting greatly by overcoming the weakness of the worse adaptability of adapting the change of the environment and the worse tolerance to mistakes of the new information

    本論文將bp演算法應用於該子系統中，建立了基於bp神經網路的「玻璃瓶口裂紋檢測模型」 ，克服了原演算法對環境變化適應的靈活性和對新信息的容錯性較差的弱點，從而使該檢測系統的自學習、自適應能力大大增強了。
  2. The pavement panel, under load and with already existing initial cracking & inherent damaged conditions as well as its cracks & damage, further accumulates and expanses, which lays a foundation for the fissures & breakage ; the surface layer - as the uneven pavement brings about interaction between spring plates which results in impact on the vehicle load, is the main reason speeding up the fissures in the pavement panel

    在荷載作用下，使得已經存在初始裂紋和固有損傷條件的路面板，其裂縫和損傷進一步累積和拓展，為路面的斷裂破壞奠定了基礎；表面層? ?由於路面表面的不平整而引起的車板相互作用帶來車輛運動荷載的沖擊，是加速路面板斷裂的主要原因。
  3. Taking the natural frequency arid the ratio of frequency drop as input characteristic parameters, crack damage in the cylindrical supporting shell of a portal crane is diagnosed and its length and position are forecasted, applying finite element emulation and artificial neural network technologies

    摘要應用有限元模擬技術和人工神經網路模型，以反映結構損傷程度的固有頻率和損傷的頻率下降率作為神經網路輸入的特徵參數，對門座起重機筒形支柱上出現的裂紋損傷長度和位置進行了綜合診斷和預測分析。
  4. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。
  5. The time serial of short fatigue cracks ' propagation rate is modeling and predicting by using neural network in this article, and the good result is achieved

    文中利用神經網路對短裂紋擴展速率進行時序數據建模與預測，取得較好的效果。
  6. It is not like expert system, which needs repeat three periods - conceptualization, formalization and improvement. in this paper, research the fault gears " three models by the vibration signal. pick up the character vector by using the wavelet packet and energy method as the ann input neural vector

    本文以齒輪箱為研究對象，在齒輪正常、齒根裂紋、齒面非正常點蝕三種模式下，對振動信號加以分析，運用「小波包?能量」法提取出信號特徵量，作為神經網路的輸入向量，採用包括有輸入層、單隱層和輸出層的bp網路。
  7. Taking in - situ toughened silicon nitride as a design object, principle component analysis ( pca ) is applied to study the microstructure and mechanical properties, to find out the main microstructure controlling factors, and to simplify the characterization variables and criterions ; fuzzy neural networks ( fnns ) is also applied to develop a design expert system for this material, which can realize the forward prediction from processing, microstructure to mechanical properties, and backward design from mechanical properties or microstructure to processing ; monte - carlo method is applied to simulate the grain growth of this material, and then crack propagation is simulated, which is another way based on physics and chemistry to developing prediction models from processing until to mechanical properties

    本文以自增韌氮化硅陶瓷為設計對象，運用主成分分析法（ principlecomponentanalysis ： pca ）對自增韌si _ 3n _ 4陶瓷的顯微結構和力學性能進行數據空間降維，獲得自增韌si _ 3n _ 4陶瓷顯微結構控制的主要因素，進而簡化了表徵參量變量和準則；運用模糊神經網路（ fuzzyneuralnetworks ： fnn ）建立了自增韌si _ 3n _ 4陶瓷設計專家系統，能實現工藝?微結構?性能的正向預測及反向設計；運用monte - carlo方法（ mc ）進行自增韌si _ 3n _ 4陶瓷的晶體生長模擬，然後進行裂紋擴展模擬，探索建立工藝?微結構?力學性能預測模型的思路。
  8. This paper by borrowing ideas from the research findings on crack identification in frame structures of domestic, combine the nerve network 、 genetic algorithm and the genetic bp algorithm, uses matlab procedure toolbox to research

    本文正是從此研究內容的基礎上，借鑒國內有關平面剛架裂紋識別的研究成果，結合神經網路、遺傳演算法以及將二者相結合的遺傳bp演算法這些優化方法，運用matlab程序工具箱展開研究。
  9. At first, the author has analyzed the theory, mechanism and shock - absorption in pre - split blasting, studied the rising of crack, expanding and stopping, and did various factors which influence on the crack of rock in pre - split blasting. the main factors have been determined to be the strength of mineral and rock, the diameter of drill, the type of explosive and the growth degree of crack. then, the author has researched bp neural networks " work principle, structure and defectiveness

    首先分析了巖石成縫的理論、機理和減震作用，研究了裂紋的起裂、擴展和止裂；分析了各種因素對巖石預裂爆破成縫的影響，確定了礦巖強度、孔徑、炸藥類型和裂隙發育程度作為主要影響因素；並研究了bp神經網路工作原理、結構和缺陷，把改進的bp神經網路運用在巖石預裂爆破參數設計中，建立以礦巖強度、孔徑、炸藥類型和裂隙發育程度為主要影響指標的bp神經網路的預裂爆破參數設計識別模型；運用matlab6 . 5語言開發了爆破參數設計的智能系統，實現了預裂爆破參數設計的自動化，用工程實例驗證系統模塊的功能。
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