Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines
Objectives. Recent research in machine learning and artificial intelligence aimed at improving prediction accuracy and reducing computational complexity resulted in a novel neural network architecture referred to as an extreme learning machine (ELM). An ELM comprises a single-hidden-layer feedforwar...
Saved in:
| Main Authors: | L. A. Demidova, A. V. Gorchakov |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
MIREA - Russian Technological University
2022-04-01
|
| Series: | Российский технологический журнал |
| Subjects: | |
| Online Access: | https://www.rtj-mirea.ru/jour/article/view/485 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification algorithm of loin swarm optimization kernel extreme learning machine
by: Liu Xinjian, et al.
Published: (2022-02-01) -
The Application Based on Support Vector Machine Optimized by Particle Swarm Optimization and Genetic Algorithm
by: MAN Chun-tao, et al.
Published: (2019-06-01) -
Cervical Cancer Detection Using Deep Neural Network and Hybrid Waterwheel Plant Optimization Algorithm
by: Sarah A. Alzakari, et al.
Published: (2025-04-01) -
CRYPTANALYSIS BIOINSPIRED METHODS OF ASYMMETRIC KEY ON THE BASIS OF COMPOSITE NUMBER FACTORIZATION
by: Alexander S. Sergeyev, et al.
Published: (2011-11-01) -
Neural Network VS Genetic and Particle Swarm Optimization Algorithms in Bankruptcy
by: Alireza Azarberahman
Published: (2025-04-01)