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Analysis of the macroeconomic development of European and Asia-Pacific countries with the use of connectionist models
The paper applies novel techniques for on-line, adaptive learning of macroeconomic data and a consecutive analysis and prediction. The evolving connectionist system paradigm (ECOS) is used in its two versions—unsupervised ...
Evolving localised learning for on-line colour image quantisation
Although widely studied for many years, colour image quantisation remains a challenging problem. We propose to use an evolving self-organising map model for the on-line image quantisation tasks. Encouraging results are ...
Modelling the emergence of speech sound categories in evolving connectionist systems
We report on the clustering of nodes in internally represented acoustic space. Learners of different languages partition perceptual space distinctly. Here, an Evolving Connectionist-Based System (ECOS) is used to model the ...
Evolving self-organizing maps for on-line learning, data analysis and modelling
In real world information systems, data analysis and processing are usually needed to be done in an on-line, self-adaptive way. In this respect, neural algorithms of incremental learning and constructive network models are ...