Volume 3 Number 1 (Feb. 2011)
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IJCEE 2011 Vol.3(1): 30-36 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.288

Improved Adaptive Learning Algorithm for Constructive Neural Networks

S. S. Sridhar and M. Ponnavaikko

Abstract—Constructive Neural Network learning algorithms provide incremental ways to determine the near-minimal architecture of a multi layer perceptron network along with learning algorithms for determining appropriate weights for pattern classification problems. An improved version of adaptive learning algorithm in a structured multilayer networks is proposed in this research work. A proper weight setting for the constructive architecture to solve pattern classification problems is analyzed and tabulated.

Index Terms—Adaptive Resonance Theory, Constructive Neural Network, Pattern Classification.

Cite: S.S.Sridhar and M.Ponnavaikko, "Improved Adaptive Learning Algorithm for Constructive Neural Networks," International Journal of Computer and Electrical Engineering vol. 3, no. 1, pp. 30-36, 2011.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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