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Computational Intelligence in Intelligent Data Analysis
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Complex systems and their phenomena are ubiquitous as they can be§found in biology, finance, the humanities, management sciences,§medicine, physics and similar fields.§For many problems in these fields, there are no conventional ways to§mathematically or analytically solve them completely at low cost. On§the other hand, nature already solved many optimization problems§efficiently. Computational intelligence attempts to mimic§nature-inspired problem-solving strategies and methods.§These strategies can be used to study, model and analyze complex§systems such that it becomes feasible to handle them. Key areas of§computational intelligence are artificial neural networks,§evolutionary computation and fuzzy systems.§As only a few researchers in that field, Rudolf Kruse has contributedin many important ways to the understanding, modeling and application§of computational intelligence methods. On occasion of his 60th§birthday, a collection of original papers of leading researchers in§the field of computational intelligence has been collected in this§volume.
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