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05/13/2022
Uninorm-like parametric activation functions for human-understandable neural models
We present a deep learning model for finding human-understandable connec...
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10/19/2018
Leveraging Product as an Activation Function in Deep Networks
Product unit neural networks (PUNNs) are powerful representational model...
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08/28/2017
A parameterized activation function for learning fuzzy logic operations in deep neural networks
We present a deep learning architecture for learning fuzzy logic express...
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05/25/2017
Neural Decomposition of Time-Series Data for Effective Generalization
We present a neural network technique for the analysis and extrapolation...
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02/03/2016
A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks
We present the soft exponential activation function for artificial neura...
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07/31/2015
A Minimal Architecture for General Cognition
A minimalistic cognitive architecture called MANIC is presented. The MAN...
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05/09/2014
Training Deep Fourier Neural Networks To Fit Time-Series Data
We present a method for training a deep neural network containing sinuso...
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12/19/2013