The Implementations for Fixed-Point and Floating-Point Recurrent Neural Networks
[[abstract]]本論文針對提出了定點數(Fixed Point)與浮點數(Floating-Point)在單層以及雙層遞迴式類神經網路在學習效果上的研究。遞迴式類神經網路事實上就是前饋式類神經網路與無限脈衝濾波器的結合,我們引用了已發展的最佳化濾波器結構,研究其在有限精度數位式裝置中的學習成果。本論文中我們以不同有限精度的定點數及浮點數測試其強健性,利用最佳化狀態空間結構對有限精度的效果,使得系統參數對於有限精度的靈敏度可以有效降低,在更小的位元數能穩定的學習 ...
LIN, YU-CHING, 林玉青
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