DOI: 10.1142/s0218001492000485. OBJECT BACKGROUND CLASSIFICATION USING HOPFIELD TYPE NEURAL NETWORK

OBJECT BACKGROUND CLASSIFICATION USING HOPFIELD TYPE NEURAL NETWORK

10.1142/s0218001492000485

Crossref journal-article

World Scientific Pub Co Pte Lt

International Journal of Pattern Recognition and Artificial Intelligence (219)

Abstract

Object extraction algorithms with a Neural Network (NN) are described. The objective function to be minimized for object extraction from a scene is shown to be similar to the expression of energy of a neural network. A modified version of Hopfield's Neural Network model is used here. The weights and input biases are given in such a way that the network self-organizes to form compact clusters. Both the discrete and the continuous dynamics of the network have been used for this purpose. Performance of the proposed methods has been compared with that of the relaxation technique.

Bibliography

GHOSH, A., PAL, N. R., & PAL, S. K. (1992). OBJECT BACKGROUND CLASSIFICATION USING HOPFIELD TYPE NEURAL NETWORK. International Journal of Pattern Recognition and Artificial Intelligence, 06(05), 989â1008.

Authors 3

ASHISH GHOSH (first)
NIKHIL R. PAL (additional)
SANKAR K. PAL (additional)

References 0 Referenced 28

None

Dates

Type	When
Created	20 years, 9 months ago (Nov. 24, 2004, 2:50 p.m.)
Deposited	6 years ago (Aug. 7, 2019, 8:47 a.m.)
Indexed	3 months, 1 week ago (May 18, 2025, 11:05 a.m.)
Issued	32 years, 8 months ago (Dec. 1, 1992)
Published	32 years, 8 months ago (Dec. 1, 1992)
Published Online	13 years, 9 months ago (Nov. 21, 2011)
Published Print	32 years, 8 months ago (Dec. 1, 1992)

Funders 0

None

BibTeX

@article{GHOSH_1992, title={OBJECT BACKGROUND CLASSIFICATION USING HOPFIELD TYPE NEURAL NETWORK}, volume={06}, ISSN={1793-6381}, url={http://dx.doi.org/10.1142/s0218001492000485}, DOI={10.1142/s0218001492000485}, number={05}, journal={International Journal of Pattern Recognition and Artificial Intelligence}, publisher={World Scientific Pub Co Pte Lt}, author={GHOSH, ASHISH and PAL, NIKHIL R. and PAL, SANKAR K.}, year={1992}, month=dec, pages={989–1008} }

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