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    Application of neural networks to unit commitment
    (IEEE, Piscataway, NJ, United States, 1999) Yalcinoz T.; Short M.J.; Cory B.J.
    In this paper, an improved Hopfield neural network which was described in [1] is applied to unit commitment problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints.