NDLI: BP network based aeroengine identification using modified particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Ying Jin Pan Haoman Dai Jiyang
Copyright Year	2013
Description	Author affiliation: Nondestructive Test Key Lab. of Minist. Educ., Nanchang Hangkong Univ., Nanchang, China (Ying Jin; Pan Haoman; Dai Jiyang)
Abstract	BP neural network is used to build an identification model for an aeroengine with 4 inputs and 4 outputs under different conditions of flight height and mach number. A modified particle swarm algorithm is presented to optimize the weights of BP network. The proposed algorithm can overcome the disadvantage of that the existing particle swarm optimization gets easily into the local minimum by introducing the average of the individual best position, the acceleration of the swarm coefficients of variation of adaptive and adaptive way to adjust the position of a large amount of deviation and other methods. Simulation results show that the proposed identification model has shorter train time, little prediction error and higher identification precision compared with the other BP network models based on GA or the elementary PSO.
Starting Page	3321
Ending Page	3325
File Size	280448
Page Count	5
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Adaptation models Nonlinear Computational modeling 4 inputs and 4 outputs Predictive models Identification Electronic mail Particle swarm optimization BPNN Aeroengine Signal processing MPSO Mathematical model
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@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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