All Outputs (222)

Evolutionary algorithms for real-time artificial neural network training. (2005)
Conference Proceeding
JAGADEESAN, A., MAXWELL, G. and MACLEOD, C. 2005. Evolutionary algorithms for real-time artificial neural network training. In Duch, W., Kacprzyk, J., Oja, E. and Zadrozy, S (eds.) Artificial neural networks: formal models and their applications, part 2; proceedings of the 15th International on artificial neural networks (ICAAN 2005), 11-15 September 2005, Warsaw, Poland. Lecture notes in computer science, 3697. Berlin: Springer, pages 73-78. Available from: https://dx.doi.org/10.1007/11550907_12

This paper reports on experiments investigating the use of Evolutionary Algorithms to train Artificial Neural Networks in real time. A simulated legged mobile robot was used as a test bed in the experiments. Since the algorithm is designed to be used... Read More about Evolutionary algorithms for real-time artificial neural network training..

A hybrid expert system assisting decision making for distribution system load forecasting. (1994)
Conference Proceeding
MORSI, D.M., ABBASY, N.H. and ABUL ELLA, M.S. 1994. A hybrid expert system assisting decision making for distribution system load forecasting. In Proceedings of the 1994 Mediterranean electrotechnical conference (MELECON '94), 12-14 April 1994, Antalya, Turkey. Piscataway: IEEE [online], pages 893-896. Available from: https://doi.org/10.1109/MELCON.1994.380958

This paper introduces a typically intelligent hybrid expert system (ES) for an annualized distribution system load forecasting. The proposed ES has the capability of predicting the annual distribution substation load growth, and patterns of subsequen... Read More about A hybrid expert system assisting decision making for distribution system load forecasting..