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In this study, a model termed NiRecor<\/jats:italic> is developed for recognizing protein folds based on artificial neural networks incorporated in an adaptive heterogeneous particle swarm optimizer. The main contribution of NiRecor<\/jats:italic> is that it is a data\u2010driven and highly\u2010performing predictor without manually tuning control parameters for different data sets. In biological science, since evolutionary\u2010 and structure\u2010based information of amino acid sequences is greatly important in determination of tertiary structure of a protein, accordingly, in NiRecor<\/jats:italic> we employ two different feature sets, which involve position specific scoring matrix and secondary structure prediction matrix, to predict the structural classes of protein folds. 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