APA (7th ed.) Citation

Zhang, Y., He, G., Wang, G., & Li, Y. (2022). XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder. IEEE transactions on computer-aided design of integrated circuits and systems, 41(12), 5489-5500. https://doi.org/10.1109/TCAD.2022.3163895

Chicago Style (17th ed.) Citation

Zhang, Yuhang, Guanghui He, Guoxing Wang, and Yongfu Li. "XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder." IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems 41, no. 12 (2022): 5489-5500. https://doi.org/10.1109/TCAD.2022.3163895.

MLA (9th ed.) Citation

Zhang, Yuhang, et al. "XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder." IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, vol. 41, no. 12, 2022, pp. 5489-5500, https://doi.org/10.1109/TCAD.2022.3163895.