An Optimally Configured HP-GRU Model Using Hyperband for the Control of Wall Following Robot
Volume: 1, Issue: 1, Pages: 66 - 74
Published: Mar 10, 2021
Abstract
In this paper, we presented an autonomous control framework for the wall following robot using an optimally configured Gated Recurrent Unit (GRU) model with the hyperband algorithm. GRU is popularly known for the time-series or sequence data, and it overcomes the vanishing gradient problem of RNN. GRU also consumes less memory and is computationally more efficient than LSTMs. The selection of hyper-parameters of the GRU model is a complex...
Paper Details
Title
An Optimally Configured HP-GRU Model Using Hyperband for the Control of Wall Following Robot
Published Date
Mar 10, 2021
Volume
1
Issue
1
Pages
66 - 74
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History