Design and Optimisations of Metal-Oxide Artificial Synaptic Device Based Machine Learning Model
Atıf İçin Kopyala
Yilmaz Y., Gul F.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Basım Tarihi:
2024
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Doi Numarası:
10.1109/tetci.2024.3446448
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Dergi Adı:
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED)
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Anahtar Kelimeler:
Computational modeling, Accuracy, Biology, Neurons, Biological system modeling, Optimization methods, Biological neural networks, Adam, adagrad, momentum, RMSprop, optimization learning methods, SGD, TiO2, memristor, machine learning
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Recep Tayyip Erdoğan Üniversitesi Adresli:
Evet