58 citations · 67 across the 8 of their papers we have counts for
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cs.NE2017
A parameterized activation function for learning fuzzy logic operations in deep neural networks
Luke B. Godfrey, Michael S. Gashler
We present a deep learning architecture for learning fuzzy logic expressions. Our model uses an innovative, parameterized, differentiable activation function that can learn a numbe…
cs.RO2017★ 5 cited
Deep Learning in Robotics: A Review of Recent Research
Harry A. Pierson, Michael S. Gashler
Advances in deep learning over the last decade have led to a flurry of research in the application of deep artificial neural networks to robotic systems, with at least thirty paper…
cs.NE2017★ 58 cited
Neural Decomposition of Time-Series Data for Effective Generalization
Luke B. Godfrey, Michael S. Gashler
We present a neural network technique for the analysis and extrapolation of time-series data called Neural Decomposition (ND). Units with a sinusoidal activation function are used…