NDLI: Image recognition with fuzzy ADALINE neurons

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Image recognition with fuzzy ADALINE neurons

Content Provider	IEEE Xplore Digital Library
Author	Paul, B. Konar, A. Mandal, A.K.
Copyright Year	1998
Description	Author affiliation: Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Calcutta, India (Paul, B.)
Abstract	The paper aims at extending the scope of application of Widrow-Hoff's ADALINE model from binary to gray level (fuzzy) pattern recognition. The condition of stability for the extended ADALINE model is derived, and the algorithm for training the multilayer feedforward neural net consisting of ADALINE neurons is presented. The time required for training the neural net is insignificantly small. The scheme for the recognition of objects from their gray level images using the fuzzy ADALINE model is translation, rotation and size invariant.
Starting Page	747
Ending Page	752
File Size	551245
Page Count	6
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.682374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Neurons Neural networks Linearity Pattern recognition Signal processing algorithms Multi-layer neural network Retina Stability Biomedical signal processing
Content Type	Text
Resource Type	Article

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