research
∙
05/13/2022
Uninorm-like parametric activation functions for human-understandable neural models
We present a deep learning model for finding human-understandable connec...
share
research
∙
10/19/2018
Leveraging Product as an Activation Function in Deep Networks
Product unit neural networks (PUNNs) are powerful representational model...
research
∙
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...
research
∙
05/25/2017
Neural Decomposition of Time-Series Data for Effective Generalization
We present a neural network technique for the analysis and extrapolation...
research
∙
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...
research
∙
07/31/2015
A Minimal Architecture for General Cognition
A minimalistic cognitive architecture called MANIC is presented. The MAN...
research
∙
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...
research
∙
12/19/2013
