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A MLP Based FDTD Method

DOI: 10.4236/jcc.2020.812022, PP. 279-284

Keywords: FDTD, Neural Network, MLP

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Abstract:

In this paper, we proposed a novel multilayer perceptron (MLP) based Finite-Difference Time-Domain (FDTD) method to reduce the time complexity of the conventional FDTD method, MLP neural networks can be used to replace the field quantities update equations and we found that in certain scenario, we can greatly reduce the time complexity of FDTD method.

References

[1]  Krizhevsky, A., Sutskever, I. and Hinton, G. (2012) ImageNet Classification with Deep Convolutional Neural Networks. NIPS 2012: Neural Information Processing Systems.
[2]  Stuart, J. and Russell, P.N. (2010) Artificial Intelligence: A Modern Approach. 3rd Edition, Prentice Hall.
[3]  Pinkus, A. (1999) Approximation Theory of the MLP Model in Neural Networks. Acta Numerica, 8, 143-195. https://doi.org/10.1017/S0962492900002919

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