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Hybrid Artificial intelligent technique (Genetic Algorithms and Elman Artificial Neural Networks ) for Arabic Handwritten Characters Recognition. ICTA 2009 ...
Jan 13, 2020 · In this paper we propose the hybridization of neural networks and genetic algorithm for online Arabic handwriting recognition.
Missing: Elman | Show results with:Elman
Oct 10, 2022 · The methodology of the current study took advantage of machine learning in classification and deep learning in feature extraction to create hybrid models.
Missing: (Genetic Elman
This part of the brain is responsible for identifying highly overlapping samples. The handwritten Arabic alphabet is characterized by this high overlap.
Missing: Elman | Show results with:Elman
In this paper, we provide a survey of the published papers on using DL techniques for NLP. We focus on the Arabic language due to its importance.
Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network. N. Lamghari; M. E. H. Charaf; S. Raghay. Research ...
Sep 9, 2009 · Short answer: use GA when the function to model is non-continuous/discrete, or when the dataset is astronomically high-dimensional.
Missing: Hybrid Elman Arabic Characters
Maalej et al. [27] proposed a hybrid CNN-BLSTM model for Arabic handwriting recognition. The CNN is used for automatic feature extract from raw images. ...
[PDF] Arabic Handwritten Recognition Using Hybrid CNN, HMM and an ...
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An efficient architecture is presented in this study, which comprises Hidden Markovian Model for character modeling, Convolutional Neural Network for ...
Missing: (Genetic Elman
In the paper we consider the problem of continuous handwriting segmentation into individual characters. The ultimate aim is to create the set of isolated ...