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An associative neural network (ASNN) is a combination of an ensemble of the feedforward neural networks and the K-nearest neighbor technique. The introduced network uses correlation between ensemble responses as a measure of distance among the analyzed cases for the nearest neighbor technique and provides an improved prediction by the bias correction of the neural network ensemble both for function approximation and classification. Actually, the proposed method corrects a bias of a global modeldoi:10.1007/978-1-60327-101-1_10 pmid:19065811 fatcat:xkdbnug7fvaqzgkoayjz5r6o3y