NDLI: Magnetic Optimization Algorithm for training Multi Layer Perceptron

Content Provider	IEEE Xplore Digital Library
Author	Mirjalili, S. Sadiq, A.S.
Copyright Year	2011
Description	Author affiliation: Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Johor Bahru, Malaysia (Mirjalili, S.; Sadiq, A.S.)
Abstract	Recently, feedforward neural network (FNN), especially Multi Layer Perceptron (MLP) has become one of the most widely-used computational tools, applied to many fields. Back Propagation is the most common method to learn MLP. This learning algorithm is a gradient-based algorithm, but it suffers some drawbacks such as trapping in local minima and slow convergence. These weaknesses make MLP unreliable in solving real-world problems. Using heuristic optimization algorithms is a popular approach to improve the drawbacks of BP. Magnetic Optimization Algorithm (MOA) is a novel heuristic optimization algorithm, inspired from the magnetic field theory. It has been proven that this algorithm is capable of solving optimization problems quickly and accurately. In this paper, MOA is employed as a new training method for MLP in order to improve the aforementioned shortcomings. The proposed learning method was compared with PSO and GA-based learning algorithms using 3-bit XOR and function approximation benchmark problems. The results prove the high performance of this new learning algorithm for large numbers of training samples.
Starting Page	42
Ending Page	46
File Size	663923
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014845
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MLP Bellows Annealing Magnetic Optimization Algorithm Artificial neural networks Multi layer perceptron Back Propagation algorithm BP MOA
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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