Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes
PaperId: :  9494
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 1 2019
DUI:    16.0415/IJARIIE-9494
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Randriamamonjy Liantsoa JoharinirinaUniversity of Antananarivo, Madagascar
Randimbindrainibe FalimananaUniversity of Antananarivo, Madagascar
Robinson MatioUniversity of Antananarivo, Madagascar

Abstract

Sciences and Applications
Extreme learning machine (ELM), Growing algorithm, Incremental learning, Moore-Penrose Generalized Inverse, Sequential learning, minimizing error.
One of the open problems in neural network research is how to automatically determine network architectures for given application. The extreme learning machine (ELM) have been proposed for generalized single-hidden-layer feedforward networks (SLFNs) which perform well in both regression and classification application. In this paper, an error-minimized incremental algorithm based on Sequential Moore-Penrose Inverse is proposed, to automatically determine the number of hidden nodes in SLFNs. This approach, Sequential Moore-Penrose inverse based ELM (SMP-ELM), is able to add random hidden nodes to SLFNs one by one or group by group. During the growth of the networks, the output weights are updated incrementally. Simulation results demonstrate and verify that our new approach can achieve more compact network structure with better generalization performance.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. "Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 1 2019 Page 666-672
MLA Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. "Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes." International Journal Of Advance Research And Innovative Ideas In Education 5.1(2019) : 666-672.
APA Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, & Robinson Matio. (2019). Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes. International Journal Of Advance Research And Innovative Ideas In Education, 5(1), 666-672.
Chicago Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. "Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 1 (2019) : 666-672.
Oxford Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. 'Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 1, 2019, p. 666-672. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Sequential_Moore_Penrose_Inverse_Based_Extreme_Learning_Machine_with_Growth_of_Hidden_Nodes_ijariie9494.pdf (Accessed : 21 February 2019).
Harvard Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. (2019) 'Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes', International Journal Of Advance Research And Innovative Ideas In Education, 5(1), pp. 666-672IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Sequential_Moore_Penrose_Inverse_Based_Extreme_Learning_Machine_with_Growth_of_Hidden_Nodes_ijariie9494.pdf (Accessed : 21 February 2019)
IEEE Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio, "Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 1, pp. 666-672, Jan-Feb 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Sequential_Moore_Penrose_Inverse_Based_Extreme_Learning_Machine_with_Growth_of_Hidden_Nodes_ijariie9494.pdf [Accessed : 21 February 2019].
Turabian Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. "Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 1 (21 February 2019).
Vancouver Randriamamonjy Liantsoa Joharinirina, Randimbindrainibe Falimanana, and Robinson Matio. Sequential Moore-Penrose Inverse Based Extreme Learning Machine with Growth of Hidden Nodes. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 21 February 2019]; 5(1) : 666-672. Available from: https://ijariie.com/AdminUploadPdf/Sequential_Moore_Penrose_Inverse_Based_Extreme_Learning_Machine_with_Growth_of_Hidden_Nodes_ijariie9494.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 2/21/2019 4:16:08 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)Computer scienceBhumika Sahu Download
Diffie Hellman Key Exchange Algorithm with Man in the middle attack (MITM)Computer Science EngineeringMahesh Purushottam Gajbhiye Download
AN IMPROVED ATTRIBUTE BASED ACCESS CONTROL IN PERSONAL HEALTH RECORDS USING CLOUD WITH CONSTANT CIPHERTEXT LENGTHScience and TechBitrus Isahaka Dzarma Download
Driver Drowsiness Detection System By Measuring EAR and MARComputer Engineering Zoya Fatema Khan Download
Cloud-Based File Storage and Sharing Web ApplicationComputer Science & EngineeringMohammed Aadil Download
STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEMComputer Science and Engineering Urvashi Suresh Waghmare Download
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
12