A Neural Network Model for Invariant Pattern Recognition

Document Type

Article

Date of Original Version

1-1-1992

Abstract

A neural network model is proposed to achieve invariant pattern recognition to binary inputs based on a combination of the in-variance net and the ART1 neural network. Computer simulations show that the new network is plastic to unfamiliar inputs and requires no explicit training of the inputs. © 1992 IEEE.

Publication Title, e.g., Journal

IEEE Transactions on Signal Processing

Volume

40

Issue

6

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