initial value parameter 中文意思是什麼
initial value parameter
解釋
初值參數-
To establish an initial condition, such as the control values of a loop, or the value to which a parameter is to is bound
建立一種初始狀態，諸如置一個循環的控制值或者置一個參數賦的值。 -
By means of the optimization method - punishing function method and taking the sum of the planet gear radius and center distance as the target function, the parameters of drive are optimized. by using the optimization program, the initial serial studies of drive are completed, the best serial parameter value of the drive is given
採用外點罰函數優化方法，通過取行星輪半徑和中心距之和作為優化目標函數，對滾錐齒超環面行星蝸桿傳動進行了參數優化，運用此優化程序，初步完成了對該種傳動的系列化研究，給出了傳動系列的最佳參數取值。 -
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。 -
Through simulation, found the influence rule on existed structure by shield construction, discussed construction factors such as soil deformation modulus, different thickness of and different elastic modules of equivalent circle zone, control soil pressure, initial stress release rate influence on the surface settlement and structure deformation, studied the reasonable parameter value scope
通過數值模擬，研究了盾構施工對既有結構的影響規律。討論了地基變形模量、等代層厚度和參數、圍巖應力初期釋放率、盾構正面土壓力等施工因素對地表沉降和筏板基礎沉降的影響，研究了穿越結構物時參數的合理取值范圍。 -
( 2 ) using the method of parameter identification in literature [ 117 - 118 ], selecting gain function : giving the initial value of the parameter observer from the time serial of output variables of the system, the numerical simulation result shows that the parameter observer proposed in this paper can identify the unknown parameters of the system quickly and exactly no matter if the parameters keep invariable or change in some rule, and the identifying speed is faster than the method in [ 117 - 118 ], when the unknown parameters are being identified, vith parameter compensator, it can synchronizes two hyperchaotic systems completely even if some parameters mismatch
（ 2 ）採用文獻[ 117 - 118 ]提出的參數辨識方法，通過選取更一般的增益函數： l _ i （ x _ i ） = kx _ ii = 1 ， 2 ， 3並根據系統輸出變量的時間序列給出參數觀測器的初始值來進行參數辨識，數值模擬結果表明：採用本文的參數觀測器，在系統參數固定或變化的情況下，都可對系統未知參數實現快速高精度辨識，辨識的速度快于文獻[ 117 - 118 ]提出的方法；在辨識參數的同時，結合參數補償器，使兩個參數不匹配的超混沌系統同步。 -
Using the dynamics model, the stability of evolution trajectory and critical value with different initial states, disturbance of environment parameter and disturbance of control decision - making parameters, which can decide the evolution trajectory ultimately in nonlinear time - dependent system, are discussed. according to the simulation results, some conclusion on the evolution trajectory control of complex economic organization of research and development are drawn, which proposes some method for the research of evolution of nonlinear economic system
通過建立動力學模型，研究了非線性時變系統中決定演化最終軌跡趨向的初始狀態、環境參數的擾動、可控決策參數擾動等各種情況下的演化軌跡穩定性和臨界值問題，通過模擬運算，得出了控制復雜研發型經濟組織演化軌跡的相關結論，為非線性經濟系統的演化研究提供了方法。 -
( 5 ) based upon numerical simulation, the effect of initial value and measure random error on back - analysis is discussed, and the first parameter and the second parameter of two - parameter model of the experimental field is identified using the experimental data
（ 5 ）通過數值模擬，分析了初值及測量結果隨機誤差對反分析結果的影響，並利用試驗數據，識別出試驗場地雙參數地基模型的第一參數與第二參數。
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