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Development a new conjugate gradient algorithm for improvement feedforward artificial neural networks for predicting the numbers of the Iraqi

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, , Citation Neaam H. alfahady et al 2021 J. Phys.: Conf. Ser. 1999 012089 DOI 10.1088/1742-6596/1999/1/012089

1742-6596/1999/1/012089

Abstract

a conjugate gradient method has been proposed for use in the training of Artificial Neural Networks with the feedforward technique. The proposed method demonstrated that the proposed CG method is accurate in predicting the numbers of the Iraqi population, the Our numerical results where very close to the exact solution of Tomas Malthose Model.

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10.1088/1742-6596/1999/1/012089