Evolution of adaptive nonlinear models
Martin Kreutz, Anja Busse and Bernhard Sendhoff
The evolution of adaptive models as well as the interaction between learning and evolution has elicited much interest in recent time. In this paper we focus on evolutionary structure optimization of nonlinear statistical models and the combination of structure optimization and learning in these models. For the experimental evidence the optimized models are applied to the task of time series prediction where the data stems from a real world system consisting of physiological data of apnea patients.
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Last update 29-07-2000, all inquiries to Bernhard Sendhoff