Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification
Swarm-intelligence (SI) algorithms have received great attention in addressing various binary optimization problems such as feature selection. In this article, a new time-varying modified Sigmoid transfer function with two time-varying updating schemes is proposed as the binarization method for part...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/26343/2/IMPROVED%20SWARM%20INTELLIGENCE%20ALGORITHMS%20WITH%20TIME-VARYING%20MODIFIED%20SIGMOID%20TRANSFER%20FUNCTION%20FOR%20AMPHETAMINE-TYPE%20STIMULANTS%20DRUG%20CLASSIFI%20CATION-COMPRESSED.PDF http://eprints.utem.edu.my/id/eprint/26343/ https://reader.elsevier.com/reader/sd/pii/S0169743922000855?token=8195BEA6C7F547F244C3FF2FCE63B11DE54013B2D4A401BCF069504C213AFEDED7344C8E148EC682AB9DB77B8399278D&originRegion=eu-west-1&originCreation=20230214074543 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |