A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN | IEEE Journals & Magazine | IEEE Xplore

A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN


Abstract:

This paper presents a sequential learning algorithm for a complex-valued resource allocation network with a self-regulating scheme, referred to as complex-valued self-reg...Show More

Abstract:

This paper presents a sequential learning algorithm for a complex-valued resource allocation network with a self-regulating scheme, referred to as complex-valued self-regulating resource allocation network (CSRAN). The self-regulating scheme in CSRAN decides what to learn, when to learn, and how to learn based on the information present in the training samples. CSRAN is a complex-valued radial basis function network with a sech activation function in the hidden layer. The network parameters are updated using a complex-valued extended Kalman filter algorithm. CSRAN starts with no hidden neuron and builds up an appropriate number of hidden neurons, resulting in a compact structure. Performance of the CSRAN is evaluated using a synthetic complex-valued function approximation problem, two real-world applications consisting of a complex quadrature amplitude modulation channel equalization, and an adaptive beam-forming problem. Since complex-valued neural networks are good decision makers, the decision-making ability of the CSRAN is compared with other complex-valued classifiers and the best performing real-valued classifier using two benchmark unbalanced classification problems from UCI machine learning repository. The approximation and classification results show that the CSRAN outperforms other existing complex-valued learning algorithms available in the literature.
Published in: IEEE Transactions on Neural Networks ( Volume: 22, Issue: 7, July 2011)
Page(s): 1061 - 1072
Date of Publication: 31 May 2011

ISSN Information:

PubMed ID: 21632298
Author image of Sundaram Suresh
School of Computer Engineering, Nanyang Technological University, Singapore
Sundaram Suresh (SM'08) received the B.E. degree in electrical and electronics engineering from Bharathiyar University, Coimbatore, India, in 1999, and the M.E. and Ph.D. degrees in aerospace engineering from the Indian Institute of Science, Bangalore, India, in 2001 and 2005, respectively.
He was a Post-Doctoral Researcher in the School of Electrical Engineering, Nanyang Technological University, Singapore, from 2005 to 2...Show More
Sundaram Suresh (SM'08) received the B.E. degree in electrical and electronics engineering from Bharathiyar University, Coimbatore, India, in 1999, and the M.E. and Ph.D. degrees in aerospace engineering from the Indian Institute of Science, Bangalore, India, in 2001 and 2005, respectively.
He was a Post-Doctoral Researcher in the School of Electrical Engineering, Nanyang Technological University, Singapore, from 2005 to 2...View more
Author image of Ramasamy Savitha
School of Computer Engineering, Nanyang Technological University, Singapore
Ramasamy Savitha (S'10) received the B.E. degree in electrical and electronics engineering from Manonmaniam Sundaranar University, Thirunelveli, India, in 2000, and the M.E. degree in control and instrumentation engineering from the College of Engineering Guindy, Anna University, Chennai, India, in 2002. She received the Ph.D. degree from Nanyang Technological University, Singapore, in 2011.
Her current research interests ...Show More
Ramasamy Savitha (S'10) received the B.E. degree in electrical and electronics engineering from Manonmaniam Sundaranar University, Thirunelveli, India, in 2000, and the M.E. degree in control and instrumentation engineering from the College of Engineering Guindy, Anna University, Chennai, India, in 2002. She received the Ph.D. degree from Nanyang Technological University, Singapore, in 2011.
Her current research interests ...View more
Author image of Narasimhan Sundararajan
School of Computer Engineering, Nanyang Technological University, Singapore
Narasimhan Sundararajan (LF'69) received the B.E. degree in electrical engineering with first class honors from the University of Madras, Chennai, India, in 1966, the M.Tech. degree from the Indian Institute of Technology, Chennai, in 1968, and the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, Urbana, in 1971.
He worked in various capacities with the Indian Space Research Organ...Show More
Narasimhan Sundararajan (LF'69) received the B.E. degree in electrical engineering with first class honors from the University of Madras, Chennai, India, in 1966, the M.Tech. degree from the Indian Institute of Technology, Chennai, in 1968, and the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, Urbana, in 1971.
He worked in various capacities with the Indian Space Research Organ...View more

I. Introduction

Complex-Valued signals naturally arise in many applications like communication [1], signal processing [2]–[5], image processing [6]–[9], and radar applications [10]. Representing these signals and their nonlinear transformations in the complex domain is a natural way to preserve their physical characteristics. But, the analysis of complex-valued signals and their transformations in an efficient way pose many new challenges. Since the complex-valued neural networks (CVNNs) provide a convenient mechanism for the above, they have created renewed interest in researchers for developing new complex-valued neural architectures and their learning algorithms.

Author image of Sundaram Suresh
School of Computer Engineering, Nanyang Technological University, Singapore
Sundaram Suresh (SM'08) received the B.E. degree in electrical and electronics engineering from Bharathiyar University, Coimbatore, India, in 1999, and the M.E. and Ph.D. degrees in aerospace engineering from the Indian Institute of Science, Bangalore, India, in 2001 and 2005, respectively.
He was a Post-Doctoral Researcher in the School of Electrical Engineering, Nanyang Technological University, Singapore, from 2005 to 2007. From 2007 to 2008, he was with the National Institute for Research in Computer Science and Control-Sophia Antipolis, Nice, France, as a Research Fellow of the European Research Consortium for Informatics and Mathematics. He was with Korea University, Seoul, Korea, for a short period as a Visiting Faculty in industrial engineering. From January 2009 to December 2009, he was with the Department of Electrical Engineering, Indian Institute of Technology, Delhi, India, as an Assistant Professor. Since 2010, he has been an Assistant Professor with the School of Computer Engineering, Nanyang Technological University. His current research interests include flight control, unmanned aerial vehicle design, machine learning, and optimization and computer vision.
Sundaram Suresh (SM'08) received the B.E. degree in electrical and electronics engineering from Bharathiyar University, Coimbatore, India, in 1999, and the M.E. and Ph.D. degrees in aerospace engineering from the Indian Institute of Science, Bangalore, India, in 2001 and 2005, respectively.
He was a Post-Doctoral Researcher in the School of Electrical Engineering, Nanyang Technological University, Singapore, from 2005 to 2007. From 2007 to 2008, he was with the National Institute for Research in Computer Science and Control-Sophia Antipolis, Nice, France, as a Research Fellow of the European Research Consortium for Informatics and Mathematics. He was with Korea University, Seoul, Korea, for a short period as a Visiting Faculty in industrial engineering. From January 2009 to December 2009, he was with the Department of Electrical Engineering, Indian Institute of Technology, Delhi, India, as an Assistant Professor. Since 2010, he has been an Assistant Professor with the School of Computer Engineering, Nanyang Technological University. His current research interests include flight control, unmanned aerial vehicle design, machine learning, and optimization and computer vision.View more
Author image of Ramasamy Savitha
School of Computer Engineering, Nanyang Technological University, Singapore
Ramasamy Savitha (S'10) received the B.E. degree in electrical and electronics engineering from Manonmaniam Sundaranar University, Thirunelveli, India, in 2000, and the M.E. degree in control and instrumentation engineering from the College of Engineering Guindy, Anna University, Chennai, India, in 2002. She received the Ph.D. degree from Nanyang Technological University, Singapore, in 2011.
Her current research interests include neural networks and control.
Ramasamy Savitha (S'10) received the B.E. degree in electrical and electronics engineering from Manonmaniam Sundaranar University, Thirunelveli, India, in 2000, and the M.E. degree in control and instrumentation engineering from the College of Engineering Guindy, Anna University, Chennai, India, in 2002. She received the Ph.D. degree from Nanyang Technological University, Singapore, in 2011.
Her current research interests include neural networks and control.View more
Author image of Narasimhan Sundararajan
School of Computer Engineering, Nanyang Technological University, Singapore
Narasimhan Sundararajan (LF'69) received the B.E. degree in electrical engineering with first class honors from the University of Madras, Chennai, India, in 1966, the M.Tech. degree from the Indian Institute of Technology, Chennai, in 1968, and the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, Urbana, in 1971.
He worked in various capacities with the Indian Space Research Organization, Bangalore, India, from 1971. Since 1991, he has been working as a Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He also worked as a National Research Council Research Associate at NASA Ames Research Center, Ames, CA, in 1974, and a Senior Research Associate at NASA Langley, Hampton, VA, in 1981 and 1986. He has published more than 200 papers and written four books. His current research interests include aerospace control and neural networks.
Prof. Sundararajan has served as an Associate Editor for a number of journals and as a program committee member in a number of international conferences. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a Fellow of the Institution of Engineers Singapore.
Narasimhan Sundararajan (LF'69) received the B.E. degree in electrical engineering with first class honors from the University of Madras, Chennai, India, in 1966, the M.Tech. degree from the Indian Institute of Technology, Chennai, in 1968, and the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, Urbana, in 1971.
He worked in various capacities with the Indian Space Research Organization, Bangalore, India, from 1971. Since 1991, he has been working as a Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He also worked as a National Research Council Research Associate at NASA Ames Research Center, Ames, CA, in 1974, and a Senior Research Associate at NASA Langley, Hampton, VA, in 1981 and 1986. He has published more than 200 papers and written four books. His current research interests include aerospace control and neural networks.
Prof. Sundararajan has served as an Associate Editor for a number of journals and as a program committee member in a number of international conferences. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a Fellow of the Institution of Engineers Singapore.View more

References

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