Restoration of Supersymmetry against arbitrary small quantum corrections using feedforward neural network
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چکیده
In this paper, the study of restoration of Supersymmetry, broken at tree level, has been undertaken. In the present model we have lucratively applied the method of back propagation based on gradient descent along the error surface to restore the supersymmetry against arbitrary tiny quantum corrections in the form of small thermal agitations. Back propagation method brings the potential stability against supersymmetry breaking due to small thermal agitations by updating the connection strengths in different layers of feedforward neural network.
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