2004 | OriginalPaper | Buchkapitel
An Artificial Immune Algorithms Apply to Pre-processing Signals
verfasst von : Mariusz Święcicki, Wiesław Wajs, Piotr Wais
Erschienen in: Computational Science - ICCS 2004
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Over the past few decades there has been a growing interest in the use of biology as a source of inspiration for solving computational problems. The motivation of this field is primarily to extract useful metaphors from natural biological systems, in order to create effective computational solutions to complex problems in a wide range of domain areas. The more notable developments have been the neural networks inspired by the working of the brain, and the evolutionary algorithms inspired by neo-Darwinian theory of evolution. This paper presents the theory of an immune network model, and it tries to apply to solve signal classification problems.