1 citations · 2 across the 5 of their papers we have counts for
5 papers
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Zimeng Lyu, Travis Desell
Time series forecasting (TSF) is one of the most important tasks in data science, as accurate time series (TS) predictions can drive and advance a wide variety of domains including…
Continuous Ant-Based Neural Topology Search
AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu +2
This work introduces a novel, nature-inspired neural architecture search (NAS) algorithm based on ant colony optimization, Continuous Ant-based Neural Topology Search (CANTS), whic…
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns +2
Weight initialization is critical in being able to successfully train artificial neural networks (ANNs), and even more so for recurrent neural networks (RNNs) which can easily suff…
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
AbdElRahman ElSaid, Joshua Karns, Alexander Ororbia +3
Transfer learning entails taking an artificial neural network (ANN) that is trained on a source dataset and adapting it to a new target dataset. While this has been shown to be qui…
Improving Neuroevolution Using Island Extinction and Repopulation
Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid +1
Neuroevolution commonly uses speciation strategies to better explore the search space of neural network architectures. One such speciation strategy is through the use of islands, w…