Yalcinoz T.Short M.J.Cory B.J.2019-08-012019-08-011999https://hdl.handle.net/11480/1405Proceedings of the 1999 5th IEEE AFRICON Conference 'Electrotechnical Services for Africa' -- 28 September 1999 through 1 October 1999 -- Cape Town, S Afr -- 56393In 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.eninfo:eu-repo/semantics/closedAccessConference Object26496542-s2.0-0033332153N/A