1. Evolving RBF networks in a multi-agent system
- Creator:
- Byrski, Aleksander and Kisiel-Dorohinicki, Marek
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- multi agent systems, artificial neural networks, radial basis function networks, and predictive modular neural networks
- Language:
- English
- Description:
- In the paper an agent system of evolving neural networks, being an example of collective intelligence, is presented. A concept of decentralised evolutionary computation realised as an evolutionary multi-agent systém (EMAS) may help to avoid some of the shortcomings of classical evolutionary optimisation techniques. As an addition, several methods of managing such a collective intelligent systém are mentioned. General considerations are illustrated by a particular system dedicated to the problém of time-series prediction. Selected experimental results conclude the work.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public