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Solving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks

机译:求解描述在径向基函数网络上的分段均匀介质中的过程的方程

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The solution of boundary value problems describing piecewise-homogeneous media on networks of radial basis functions is considered. The proposed algorithm is based on solving individual problems for each area with different properties of the medium and using a common error functional that takes into account errors at the interface between the media. This removes the restrictions on the use of radial basis functions and allows the use of radial basis functions with both unlimited and limited definition areas. We used the fast algorithm proposed by the authors for training networks of radial basis functions by the Levenberg-Marquardt method with analytical calculation of the Jacobi matrix. The algorithm makes it possible to reduce the number of iterations by several orders of magnitude compared to the gradient descent algorithm currently used and to obtain the accuracy of the solution, which is practically unattainable by the gradient descent algorithm. The results of solving the model problem showed the effectiveness of the proposed algorithm.
机译:考虑了描述径向基函数网络的分段 - 均匀介质的边值问题的解。所提出的算法基于解决具有介质的不同特性的每个区域的各个问题,并且使用在媒体之间的接口处考虑错误的常见误差功能。这消除了对使用径向基函数的限制,并允许使用径向基函数与无限和有限的定义区域。我们利用作者提出的快速算法通过Levenberg-Marquardt方法进行径向基函数的培训网络,具有Jacobi矩阵的分析计算。该算法使得与当前使用的梯度下降算法相比,可以通过几个数量级来减少迭代的数量,并获得解决方案的准确性,这通过梯度下降算法实际上是无法实现的。解决模型问题的结果显示了所提出的算法的有效性。

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