numerical integrating method 中文意思是什麼
numerical integrating method
解釋
數值積分法-
Present a modified particle filter ( pf ) algorithm based on the los / nlos binary state information of propagation environment using the numerical method of the probability density function ( pdf ) about the hybrid noise. the key idea is using numerical method to calculate the hybrid noise pdf, and integrating binary environment information to get filtering result
2 .給出了應用粒子濾波器改進直達波與非直達波混合環境中移動終端跟蹤性能的新演算法，特色是利用數值方法計算混合噪聲密度函數，結合二元環境信息完成濾波估計。 -
In this method the stress resultants of concrete in the cross section are evaluated by accurate integrating method and the resultants of structural steel and reinforcing bars are obtained using the fiber element method. the final nonlinear algebraic equations are solved using an iterative quasi - newton procedure based on the regula - falsi numerical scheme
應用該計算機方法，截面上的混凝土內力採用精確的積分方法求得，結構鋼與鋼筋的內力則由纖維元方法計算，而最終的非線性代數方程組由分離變量的擬newton - raphson迭代方法求解。 -
Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information
文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單 -
An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information
研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單 -
A new numerical algorithm integrating a quasi - analytic numerical algorithm with the gear numerical algorithm is used to solve the ordinary differential equations with stiff problem. to accelerate the solving of ode, the optimum step method is introduced into the composite numerical algorithm
針對重整反應模型方程的特殊結構和剛性問題，提出了一種形式更簡單方便的近似解析數值演算法和吉爾法相結合的混合數值演算法，並引入了最優步長方法。 -
Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed. based on that model, a multivariable nonlinear predictive control algorithm is persented. the algorithm employs the result of the linear predictive control, obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control. that greatly decreases on - line computing consumption, strengthens the reliability of the algorithm and the stability of the system. the simulation results in cstr are shown
文摘:提出了一種由人工神經網路與線性arx模型相結合的集成模型，給出了其辨識訓練方法.以此模型為基礎，提出了一種多變量非線性預測控制演算法.它利用線性預測控制的成果，得到一解析式的非線性優化控制輸入，避免了通常非線性模型（包括普通人工神經網路模型）預測控制所需的在線數值尋優計算，節約了在線計算時間，提高了演算法的可靠性和穩定性.進一步給出了在cstr反應器上的模擬實驗結果
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