Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution

1 code implementation • 6 Feb 2019 • Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell

This paper presents a new algorithm, Evolutionary eXploration of Augmenting Memory Models (EXAMM), which is capable of evolving recurrent neural networks (RNNs) using a wide variety of memory structures, such as Delta-RNN, GRU, LSTM, MGU and UGRNN cells.

Time Series Time Series Analysis