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Implementations of CNNs

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Reconfigurable Cellular Neural Networks and Their Applications

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSNONLINCIRC))

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Abstract

This chapter presents designs and implementations of cellular nonlinear network accelerators on field programmable gate array. A digital circuit architecture is introduced to handle computationally intensive active waves generation on locally coupled oscillatory network. This architecture is also implemented on FPGA and applied to the motion planning problem. Furthermore, in order to speed up real-time response of artificial olfaction systems, a system-on-chip architecture which is including reconfigurable cellular neural network as a feature extractor is presented.

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Authors and Affiliations

  1. Department of Electronics and Telecommunications Engineering, Istanbul Technical University, Istanbul, Turkey

    Müştak E. Yalçın & Tuba Ayhan

  2. Aeronautical Engineering, Istanbul Technical University, Istanbul, Turkey

    Ramazan Yeniçeri

Authors
  1. Müştak E. Yalçın
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  2. Tuba Ayhan
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  3. Ramazan Yeniçeri
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Corresponding author

Correspondence to Müştak E. Yalçın .

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Yalçın, M.E., Ayhan, T., Yeniçeri, R. (2020). Implementations of CNNs. In: Reconfigurable Cellular Neural Networks and Their Applications. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-17840-6_4

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