Abstract
The simulation line is usually used to imitate the frequency characteristic of a real long transmission line. This paper proposes a novel design scheme of simulation line using back propagation neural network (BP NN). A BP NN is trained to correspond with the line’s transfer function and then implemented by field programmable gate array (FPGA) for application in real time. The activation function of NN is approximated with a high-speed symmetric table addition method (STAM), which reduces the amount of memory required. For an underwater coaxial cable that is 10000m long, a simulation line is hardware realized and has been successfully used in the study of digital image transmission.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhang, Hy., Li, X., Tian, Sf. (2006). Simulation Line Design Using BP Neural Network. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_57
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DOI: https://doi.org/10.1007/11816157_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
Online ISBN: 978-3-540-37273-8
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