An agent-based PLA for the cascade correlation learning architecture

Authors:
Ireneusz Czarnowski;Piotr Jedrzejowicz
Affiliations:
Department of Information Systems, Gdynia Maritime University, Gdynia, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

The paper proposes an implementation of the agent-based population learning algorithm (PLA) within the cascade correlation (CC) learning architecture. The first step of the CC procedure uses a standard learning algorithm. It is suggested that using the agent-based PLA as such an algorithm could improve efficiency of the approach. The paper gives a short overview of both - the CC algorithm and PLA, and then explains main features of the proposed agent-based PLA implementation. The approach is evaluated experimentally.