Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm
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DOI: 10.1007/s11069-020-04180-9
Abstract: The modelling of drought is of utmost importance for the efficient management of water resources. This article used the adaptive neuro-fuzzy interface system (ANFIS), multilayer perceptron (MLP), radial basis function neural network (RBFNN), and support… read more here.
Keywords: svm models; svm; drought; iran ... See more keywords
T157. THE COURSE OF SCHIZOPHRENIA-RELATED NEURAL FINGERPRINTS OVER NINE YEARS - A LONGITUDINAL POPULATION-BASED MACHINE LEARNING STUDY
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DOI: 10.1093/schbul/sbaa029.717
Abstract: Abstract Background Previous machine learning studies using structural MRI (sMRI) have been able to separate schizophrenia from controls with relatively high (about 80%) sensitivity and specificity (Kambeitz et al. Neuropsychopharmacology 2015). Interestingly, prediction accuracy in… read more here.
Keywords: machine; svm models; schizophrenia; nfbc 1966 ... See more keywords