This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a neural network based visual servo system; modelling of computer-assisted learning using artificial neural networks; prediction of hole quality in drilling GFRE using artificial neural networks; ANN-based approaches to study the nanoscale CMOS devices; artificial neural networks in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.
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