Including artificial neural networks, artificial intelligence, fuzzy systems, and evolutionary computing, computational intelligence paradigms are ways in which computing algorithms can represent uncertain knowledge and mimic biological information processing mechanisms. Twelve chapters, presented by Jain (U. of South Australia) and De Wilde (U. of London), look at the technical issues of variety of applications of these techniques, including commercial coin recognizers, control systems for household appliances, the back calculation model in aerial spray models using the genetic algorithms, predicting aircraft loads and dynamic response, property market timing, breast cancer diagnosis, and the detection and classification of lung disease.
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