![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
The main objective of this paper is to design an Artificial Neural Network algorithm, which is used to generate fuzzy rules and membership functions. The combination of the learned fuzzy rules and membership functions and the Neural network based fuzzy design technique significantly improves performance and reduces design time. The proposed method is used to extract characteristic features of aircraft targets from their radar signatures. The development of a passive radar target identification system has applications to military surveillance radar's and civilian air traffic control systems.
Additional information
Notes on contributors
S Mercy Shalinie
S M Shalinie was born in Madurai (TN) in 1968. She is presently working as Lecturer in Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai (TN). She obtained her BE (E&I) in 1989 and ME (App Electronics) in 1992 from Coimbatore Institute of Technology, Coimbatore. She obtained her PhD in Computer Science and Engineering from MKU, Madurai and has several research publications to her credit. She was awarded Young Scientist Fellowship by Tamil Nadu State Council for Science and Technology, Chennai and received Best Paper Award for her paper published in the Journal of IE. Her field of specializations are Artificial Neural Networks, Fuzzy systems and Pattern recognition techniques. She is a Life member of ISTE and IE.