Evolutionary neural networks in collective intelligent predicting system

Abstract

In the paper a hybrid, agent-based system of evolving neural networks dedicated to time-series prediction is presented. First the idea of a multi-agent predicting system is introduced. Second some aspects of the system concerning management of collective intelligence and evolutionary design of a predicting neural network are discussed. Then a hybrid solution - an evolutionary multi-agent system (EMAS) is proposed. Finally selected results of the experiments are presented.