Object recognition using genetic algorithms with a Hopfield's neural model
- 31 October 1997
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 13 (3), 191-199
- https://doi.org/10.1016/s0957-4174(97)00024-9
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Polygonal approximation using a competitive Hopfield neural networkPattern Recognition, 1994
- Shape recognition with a neural classifier based on a fast polygon approximation techniquePattern Recognition, 1994
- Shape analysis using genetic algorithmsPattern Recognition Letters, 1993
- Landmark-based shape recognition by a modified Hopfield neural networkPattern Recognition, 1993
- Hopfield network for stereo vision correspondenceIEEE Transactions on Neural Networks, 1992
- Object recognition by a Hopfield neural networkIEEE Transactions on Systems, Man, and Cybernetics, 1991
- Methodologies in pattern recognition and image analysis—A brief surveyPattern Recognition, 1987
- Using Polygons to Recognize and Locate Partially Occluded ObjectsIeee Transactions On Pattern Analysis and Machine Intelligence, 1987
- HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional ObjectsIeee Transactions On Pattern Analysis and Machine Intelligence, 1986
- Neocognitron: A neural network model for a mechanism of visual pattern recognitionIEEE Transactions on Systems, Man, and Cybernetics, 1983