A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification
Joint Authors
Jammoussi, Imen
Ben Nasr, Mounir
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Extreme learning machine is a fast learning algorithm for single hidden layer feedforward neural network.
However, an improper number of hidden neurons and random parameters have a great effect on the performance of the extreme learning machine.
In order to select a suitable number of hidden neurons, this paper proposes a novel hybrid learning based on a two-step process.
First, the parameters of hidden layer are adjusted by a self-organized learning algorithm.
Next, the weights matrix of the output layer is determined using the Moore–Penrose inverse method.
Nine classification datasets are considered to demonstrate the efficiency of the proposed approach compared with original extreme learning machine, Tikhonov regularization optimally pruned extreme learning machine, and backpropagation algorithms.
The results show that the proposed method is fast and produces better accuracy and generalization performances.
American Psychological Association (APA)
Jammoussi, Imen& Ben Nasr, Mounir. 2020. A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1138732
Modern Language Association (MLA)
Jammoussi, Imen& Ben Nasr, Mounir. A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1138732
American Medical Association (AMA)
Jammoussi, Imen& Ben Nasr, Mounir. A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1138732
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138732