Incremental learning in autonomous systems: evolving connectionist systems for on-line image and speech recognition

Kasabov, N; Zhang, D.; Pang, P.

doi:10.1109/ARSO.2005.1511636

Kasabov, N; Zhang, D.; Pang, P.

Abstract

The paper presents an integrated approach to incremental learning in autonomous systems, that includes both pattern recognition and feature selection. The approach utilizes evolving connectionist systems (ECoS) and is applied on on-line image and speech pattern learning and recognition tasks. The experiments show that ECoS are a suitable paradigm for building autonomous systems for learning and navigation in a new environment using both image and speech modalities. © 2005 IEEE.

Date

2005

Item Type

Conference Proceedings

Publisher

IEEE

DOI

10.1109/ARSO.2005.1511636

Rights Statement

©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.