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Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, diameter, foliage, blooming habit, ploidy, blooming sequence were included in the initial training and testing. Data pre-processing was performed to meet the format requirements of… (More)