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According to conventional neural network theories, single-hidden-layer feedforward networks (SLFNs) with additive or radial basis… Expand Feature selection is an important problem for pattern classification systems. We study how to select good features according to… Expand Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm… Expand Computational studies of proteins based on empirical force fields represent a powerful tool to obtain structure–function… Expand Incremental dynamic analysis (IDA) is a parametric analysis method that has recently emerged in several different forms to… Expand We present an automatic method for docking organic ligands into protein binding sites. The method can be used in the design… Expand The capabilities of a firm, or any organization, lie primarily in the organizing principles by which individual and functional… Expand A neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional… Expand On the basis of empirical research, a model of the internationalization process of the firm is developed. The model focuses on… Expand All digitizing methods, as a general rule, record lines with far more data than is necessary for accurate graphic reproduction or… Expand