Abstract
This paper deals with a top down design methodology of an artificial neural network (ANN) based upon parametric VHDL description of the network. To come off early in the design process a high regular architecture was achieved. Then, the VHDL parametric description of the network was realized. The description has the advantage of being generic, flexible and can be easily changed at the user demand. To validate our approach, an ANN for electrocardiogram (ECG) arrhythmia's classification is passed through a synthesis tool, GALILEO, for FPGA implementation.
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© 1999 Springer-Verlag Berlin Heidelberg
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Izeboudjen, N., Farah, A., Titri, S., Boumeridja, H. (1999). Digital implementation of artificial neural networks: From VHDL description to FPGA implementation. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100480
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DOI: https://doi.org/10.1007/BFb0100480
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-48772-2
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