In this paper a team of agents applied to train a feed-forward artificial neural networks is proposed, implemented and experimentally evaluated. The approach is based on a new variant of the A-Team architecture. Each agent member of the team is executing its own simple training procedure and it is expected that the whole team demonstrates complex collective behavior. The paper includes a description of the proposed approach and presents the results of the experiment involving benchmark datasets. The results show that the approach could be considered as a competitive training tool. © 2006 Springer-Verlag London.
CITATION STYLE
Czarnowski, I., & Jedrzejowicz, P. (2006). An agent-based approach to ANN training. In Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 191–201). Springer London. https://doi.org/10.1007/978-1-84628-226-3_15
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