齊連運 的英文怎麼說
中文拼音 [qíliányùn]
齊連運
英文
qi lianyun-
The dry pit submersible pumping units shall be self contained, close coupled pump / motor units designed to operate at continuous full load either submerged or non - submerged without the need for any external cooling devices or water jackets
這類乾井潛水泵裝置應該配置齊全，泵和電機緊密結合，在淹沒或沒有淹沒狀態下能夠全負荷連續運轉，不需要任何外置冷卻設備，如水套等。To further promote the sport - for - all concept, a series of major programmes such as the corporate games, masters games, gold card fitness scheme, come and try scheme, senior citizens recreation and sports fortnight, and recreation and sports highlights for disabled persons were organised
為進一步推廣"普及體育"的概念，該局舉辦了一連串大型活動，例如工商機構運動會、先進運動會、健體金咭計劃、齊顯活力添新意、耆英活力雙周及弱能人士康體活力日等。In chapter 1, we briefly reviewed the risk theory and its development. and the significance about this paper was expressed. in chapter 2, we introduced classical risk model. in which, making this risk process into a strong markovian process is the preparation of deriving the main results. chapter 3 is the main body of the paper, we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time. the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time. we also take advantage of change of measure idea from it
第二章介紹了經典風險模型，其中用逐段決定馬爾可夫過程理論及補充變量技巧，使一類風險模型的盈餘過程成為齊次強馬爾可夫過程。第三章作為本文的主體部分，在索賠到達間隔服從虧時幾何分佈的連續時間風險模型中，索賠額分佈為一般分佈，它的破產概率可以利用pdmp中的廣義生成運算元得出鞅，通過調節系數的選擇以及在相應測度下的測度變換，使得破產概率的一般解可以表示出來。In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient
本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。In this chapter, a - type positive homogeneous operators are generalized as e - a type positive homogeneous operators. moreover, the continuity, properties of norm, and completeness of operator space are investigated for e - a type positive homogeneous operators
本章將正齊次運算元推廣為?正齊次運算元，並討論了?正齊次運算元的連續性、范數性質、以及運算元空間的完備性等。Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。With the structure character of coiling robot, the transformed equations of robot movement is established by using equal - power coordinate transformation. the path scheduling method of robot is deeply researched and then imitates the robot ' s movement path by using b - splint function on the disperse point gotten by scheduling on robot ' s coiling movement path to ensure the robot ' s movement track to be a clean and continuous line. then the track is optimized by dynamic scheduling method
結合繞線機器人的結構特點，利用齊次坐標變換建立起機器人運動變換方程，探討了機器人路徑規劃的一般方法，並利用b樣條函數對機器人繞線運動路徑規劃所得的離散路徑點進行逼近，以保證機器人運動軌跡是一條光滑連續的曲線，並利用動態規劃方法對機器人進行時間最優軌跡規劃。分享友人