התחברות
תובנה - CBGT-Net Neural Network Model
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
A neural network model inspired by the cortico-basal ganglia-thalamic (CBGT) circuits in mammalian brains learns to produce an output after accumulating evidence from a stream of observed data, providing improved accuracy and robustness in image classification tasks.
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
CBGT-Netは、哺乳類の脳に見られるコルチコ基底核視床（CBGT）回路に着想を得たニューラルネットワークモデルであり、ストリーミングデータの分類において高い精度と頑健性を提供します。
אודות
מוצרים | משאבים
© 2024 by Linnk AI