A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification
Extreme learning machine (ELM), as a new simple feedforward neural network learning algorithm, has been extensively used in practical applications because of its good generalization performance and fast learning speed. However, the standard ELM requires more hidden nodes in the application due to th...
Saved in:
Main Authors: | Qinwei Fan, Tongke Fan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2021/4404088 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Complex Valued Cuckoo Search Algorithm
by: Yongquan Zhou, et al.
Published: (2013-01-01) -
Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification
by: Amirreza Salehi, et al.
Published: (2025-01-01) -
PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm
by: Wei Chen Esmonde Lim, et al.
Published: (2014-01-01) -
A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem
by: Hongqing Zheng, et al.
Published: (2013-01-01) -
Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
by: Wuying Liu, et al.
Published: (2014-01-01)