دورية أكاديمية

Architectural design and analysis of learnable self-feedback ratio-memory cellular nonlinear network (SRMCNN) for nanoelectronic systems

التفاصيل البيبلوغرافية
العنوان: Architectural design and analysis of learnable self-feedback ratio-memory cellular nonlinear network (SRMCNN) for nanoelectronic systems
المؤلفون: Lai, J.-L., Wu, P.C.-Y.
المصدر: IEEE Transactions on Very Large Scale Integration (VLSI) Systems IEEE Trans. VLSI Syst. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on. 12(11):1182-1191 Nov, 2004
قاعدة البيانات: IEEE Xplore Digital Library
الوصف
تدمد:10638210
15579999
DOI:10.1109/TVLSI.2004.836309