斷續數列 的英文怎麼說

中文拼音 [duànxùshǔliè]
斷續數列 英文
broke series
  • 斷 : Ⅰ動詞1 （分成段） break; snap 2 （斷絕;隔斷） break off; cut off; stop 3 （戒除） give up; abstai...
  • 續 : Ⅰ形容詞（連接不斷） continuous; successive Ⅱ動詞1 （接在原有的后頭） continue; extend; join 2 （...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 斷續 : interrupted; chopping; make and break斷續曝光 [攝影學] intermittent exposure; 斷續波 discontinuou...
  • 數列 : progression; series; a series of numbers arranged according to a certain rule
  1. ( 2 ) a series of experiments on time scale distortion are made with real river model, inflow and outflow boundary condition, and continuous simulation. by means of analysis of the experimental data on model water level, water - surface gradient, cross velocity, outflow discharge process and the sediment transportation capacity, the main physical reasons for the above hydraulic parameters deviations caused by time scale distortion are illustrated : response delay of model channel storage capacity and rate of water level with time

    （ 2 ）採用真實的河工模型和入出流邊界控制條件以及連續模擬的方法進行了有關時間變態率的系列試驗，通過模型水位、比降、流速、出口流量過程線和斷面挾沙力試驗資料的分析，闡明了時間變態引起上述各種水力參數偏離的主要物理原因：模型的槽蓄響應和洪水過程時間變化率的響應滯后。
  2. 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。
  3. This paper presents the definition of regular stream and irregular stream, and then describes masa multiple - morphs adaptive stream architecture prototype system which supports different execution models according to applications stream characteristics

    流是不間斷的連續的移動的數據序列，序列長度可以是定長或不定長的，序列中記錄流元素的構成可以簡單或復雜。
  4. Chapter four introduces the basic theories of continue hidden markov models ( chmm ). the new method of faults diagnosis based mixture density chmms directly by the vibration ar coefficients vectors of rotating machine is proposed, and then the dynamic patterns presented in run - up process of rotor machine are successfully recognized. at last compares the two faults diagnosis methods of dhmm and chmm, and points out the advantages and disadvantages of the two methods

    第四章：在連續隱markov模型（ chmm ）的基本理論基礎上，提出了直接利用振動信號ar系數特徵矢量序列建立混合密度chmm的故障診斷新方法，並對轉子升速過程的振動模式進行了成功的識別；對dhmm和chmm故障診斷方法進行了對比分析，指出dhmm方法具有演算法穩定、計算速度快、識別精度高等特點，對于chmm方法只要通過合理選擇特徵參數也能得到高的識別精度。
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