Hybrid neural network model based on multi-layer perceptron and adaptive resonance theory

  • Authors:
  • Andrey Gavrilov;Young-Koo Lee;Sungyoung Lee

  • Affiliations:
  • Kyung Hee University, Gyeonggi-do, Korea;Kyung Hee University, Gyeonggi-do, Korea;Kyung Hee University, Gyeonggi-do, Korea

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

The model of the hybrid neural network is considered. This model consists of model ART-2 for clustering and perceptron for preprocessing of images. The perceptron provides invariant recognition of objects. This model can be used in mobile robots for recognition of new objects or scenes in sight the robot during his movement.