FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel–Ziv complexity based distance measure

Title
FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel–Ziv complexity based distance measure
Authors
Keywords
Protein secondary structure prediction, Protein structural class, Lempel–Ziv algorithm, K-NN classification algorithm, Fuzzy k-nearest-neighbor algorithm, Field programmable gate arrays
Journal
NEUROCOMPUTING
Volume 148, Issue -, Pages 409-419
Publisher
Elsevier BV
Online
2014-06-12
DOI
10.1016/j.neucom.2014.06.001

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now