Neuro-inspired hardware solutions for high-performance computing: A TiO2-based nano-synaptic device approach with backpropagation
Atıf İçin Kopyala
Yilmaz Y., Gül F.
Integration, cilt.97, 2024 (SCI-Expanded)
-
Yayın Türü:
Makale / Tam Makale
-
Cilt numarası:
97
-
Basım Tarihi:
2024
-
Doi Numarası:
10.1016/j.vlsi.2024.102206
-
Dergi Adı:
Integration
-
Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
-
Anahtar Kelimeler:
Digit recognition, Machine learning, Memristor, Neural network, Synaptic device, Titanium-dioxide
-
Recep Tayyip Erdoğan Üniversitesi Adresli:
Evet