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seepage inversion
相关语句
  相似匹配句对
     Improved Algorithm of Seepage Coefficient Inversion and Project Application
     改进的渗流参数反演方法及其工程应用
短句来源
     On inversion and Emqhasis
     谈倒装与强调
短句来源
     The third is inversion;
     第三是数据的解释以及反演。
短句来源
     The Application Study of Inversion Calculation of Seepage Field in the Leakage of Reservoir
     渗流场反演计算及在水库渗漏控制中的应用研究
短句来源
     Free Seepage and Its Application
     自由入渗及其应用
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Simulated Annealing alternation and iterative algorithm applied in Neural Network is proposed forward in this paper, which overcomes some limitation of the traditional BP Neural Network. Taking iterative convergence of sine function for example, the correction, efficiency and superiority of the algorithm are proved. At the same time, this algorithm is applied in seepage inversion of dam, using inversion results to calculate seepage flow field, and forecasted water heads have good accuracy....

Simulated Annealing alternation and iterative algorithm applied in Neural Network is proposed forward in this paper, which overcomes some limitation of the traditional BP Neural Network. Taking iterative convergence of sine function for example, the correction, efficiency and superiority of the algorithm are proved. At the same time, this algorithm is applied in seepage inversion of dam, using inversion results to calculate seepage flow field, and forecasted water heads have good accuracy. Inversion result is correct and the algorithm is feasible in the practical seepage parameters identification.

提出了模拟退火的交替迭代算法的神经网络方法,克服了经典BP网络存在的一些缺陷。并以正弦函数的迭代收敛为例,利用模拟退火的交替迭代算法反演了大坝的渗透系数,并利用反演结果进行渗流场分析,结果说明,水头预报值有很高的精度,反演结果是正确的,从而验证了该方法用于反演分析中的可靠性、有效性和优越性。

Based on the nonlinear characteristic of ANN, and on the basis of water flow FEM computation, the inversion method for seepage coefficient of dam is presented together with the observation data of water and seepage flux. In order to overcome some disadvantage of the traditional neural network, a new method of alternation and iterative algorithm based on simulated annealing applied in Neural Network is put forward. On the same initial conditions, the comparison of the new method with the neural network based...

Based on the nonlinear characteristic of ANN, and on the basis of water flow FEM computation, the inversion method for seepage coefficient of dam is presented together with the observation data of water and seepage flux. In order to overcome some disadvantage of the traditional neural network, a new method of alternation and iterative algorithm based on simulated annealing applied in Neural Network is put forward. On the same initial conditions, the comparison of the new method with the neural network based on the traditional algorithm is accomplished; and the result shows the superiority and efficiency of the former one. At the same time, this algorithm is applied to seepage inversion analysis of dam, by using the inversed seepage coefficient to calculate seepage flow field. Numerical computation indicates that the method has high precision of identification and reliable inversion result, and can be applied to the practical engineering.

基于人工神经网络的非线性映射特征,在渗流有限元计算的基础上,结合水头和渗流量等实测资料提出了大坝渗透系数的反演方法。为了克服经典神经网络存在的缺陷,提出了模拟退火的交替迭代算法神经网络新方法。在相同的初始条件下,用该新方法和经典网络进行了比较,得出前者的优越性和有效性。同时将该方法用于大坝的渗流反分析,利用反演出的渗透系数进行渗流场计算。数值计算结果表明,这种方法对大坝渗透系数反演问题具有较高的识别精度,反演结果可靠,可以用于实际工程。

 
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