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    ANN for English Alphabet Prediction
    with Hamza H. Heriz, Mohammad Abu Abdu, and Qassas Randa
    International Journal of Academic Pedagogical Research (IJAPR) 11 (2): 8-13. 2016.
    Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral va…Read more